Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology Article Swipe
Dyke Ferber
,
Omar S. M. El Nahhas
,
Georg Wölflein
,
Isabella C. Wiest
,
Jan Clusmann
,
Marie-Elisabeth Leßmann
,
Sebastian Foersch
,
Jacqueline Lammert
,
Maximilian Tschochohei
,
Dirk Jaeger
,
Manuel Salto‐Tellez
,
Nikolaus Schultz
,
Daniel Truhn
,
Jakob Nikolas Kather
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s43018-025-00991-6
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s43018-025-00991-6
Clinical decision-making in oncology is complex, requiring the integration of multimodal data and multidomain expertise. We developed and evaluated an autonomous clinical artificial intelligence (AI) agent leveraging GPT-4 with multimodal precision oncology tools to support personalized clinical decision-making. The system incorporates vision transformers for detecting microsatellite instability and KRAS and BRAF mutations from histopathology slides, MedSAM for radiological image segmentation and web-based search tools such as OncoKB, PubMed and Google. Evaluated on 20 realistic multimodal patient cases, the AI agent autonomously used appropriate tools with 87.5% accuracy, reached correct clinical conclusions in 91.0% of cases and accurately cited relevant oncology guidelines 75.5% of the time. Compared to GPT-4 alone, the integrated AI agent drastically improved decision-making accuracy from 30.3% to 87.2%. These findings demonstrate that integrating language models with precision oncology and search tools substantially enhances clinical accuracy, establishing a robust foundation for deploying AI-driven personalized oncology support systems.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s43018-025-00991-6
- https://www.nature.com/articles/s43018-025-00991-6.pdf
- OA Status
- hybrid
- Cited By
- 26
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411100445
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411100445Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s43018-025-00991-6Digital Object Identifier
- Title
-
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncologyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-06Full publication date if available
- Authors
-
Dyke Ferber, Omar S. M. El Nahhas, Georg Wölflein, Isabella C. Wiest, Jan Clusmann, Marie-Elisabeth Leßmann, Sebastian Foersch, Jacqueline Lammert, Maximilian Tschochohei, Dirk Jaeger, Manuel Salto‐Tellez, Nikolaus Schultz, Daniel Truhn, Jakob Nikolas KatherList of authors in order
- Landing page
-
https://doi.org/10.1038/s43018-025-00991-6Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s43018-025-00991-6.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s43018-025-00991-6.pdfDirect OA link when available
- Concepts
-
Artificial intelligence, Clinical decision making, Computer science, KRAS, Precision oncology, Clinical microbiology, Medical physics, Precision medicine, Medicine, Internal medicine, Pathology, Cancer, Intensive care medicine, Colorectal cancer, Microbiology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 26Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411100445 |
|---|---|
| doi | https://doi.org/10.1038/s43018-025-00991-6 |
| ids.doi | https://doi.org/10.1038/s43018-025-00991-6 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40481323 |
| ids.openalex | https://openalex.org/W4411100445 |
| fwci | 120.48312249 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D001185 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Artificial Intelligence |
| mesh[2].qualifier_ui | Q000379 |
| mesh[2].descriptor_ui | D000066491 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | methods |
| mesh[2].descriptor_name | Clinical Decision-Making |
| mesh[3].qualifier_ui | Q000379 |
| mesh[3].descriptor_ui | D057285 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | methods |
| mesh[3].descriptor_name | Precision Medicine |
| mesh[4].qualifier_ui | Q000235 |
| mesh[4].descriptor_ui | D009369 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | genetics |
| mesh[4].descriptor_name | Neoplasms |
| mesh[5].qualifier_ui | Q000175 |
| mesh[5].descriptor_ui | D009369 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | diagnosis |
| mesh[5].descriptor_name | Neoplasms |
| mesh[6].qualifier_ui | Q000628 |
| mesh[6].descriptor_ui | D009369 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | therapy |
| mesh[6].descriptor_name | Neoplasms |
| mesh[7].qualifier_ui | Q000379 |
| mesh[7].descriptor_ui | D008495 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | methods |
| mesh[7].descriptor_name | Medical Oncology |
| mesh[8].qualifier_ui | Q000235 |
| mesh[8].descriptor_ui | D048493 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | genetics |
| mesh[8].descriptor_name | Proto-Oncogene Proteins B-raf |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D053842 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Microsatellite Instability |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D009154 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Mutation |
| mesh[11].qualifier_ui | Q000235 |
| mesh[11].descriptor_ui | D016283 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | genetics |
| mesh[11].descriptor_name | Proto-Oncogene Proteins p21(ras) |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D020000 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Decision Support Systems, Clinical |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D006801 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Humans |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D001185 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Artificial Intelligence |
| mesh[15].qualifier_ui | Q000379 |
| mesh[15].descriptor_ui | D000066491 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | methods |
| mesh[15].descriptor_name | Clinical Decision-Making |
| mesh[16].qualifier_ui | Q000379 |
| mesh[16].descriptor_ui | D057285 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | methods |
| mesh[16].descriptor_name | Precision Medicine |
| mesh[17].qualifier_ui | Q000235 |
| mesh[17].descriptor_ui | D009369 |
| mesh[17].is_major_topic | True |
| mesh[17].qualifier_name | genetics |
| mesh[17].descriptor_name | Neoplasms |
| mesh[18].qualifier_ui | Q000175 |
| mesh[18].descriptor_ui | D009369 |
| mesh[18].is_major_topic | True |
| mesh[18].qualifier_name | diagnosis |
| mesh[18].descriptor_name | Neoplasms |
| mesh[19].qualifier_ui | Q000628 |
| mesh[19].descriptor_ui | D009369 |
| mesh[19].is_major_topic | True |
| mesh[19].qualifier_name | therapy |
| mesh[19].descriptor_name | Neoplasms |
| mesh[20].qualifier_ui | Q000379 |
| mesh[20].descriptor_ui | D008495 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | methods |
| mesh[20].descriptor_name | Medical Oncology |
| mesh[21].qualifier_ui | Q000235 |
| mesh[21].descriptor_ui | D048493 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | genetics |
| mesh[21].descriptor_name | Proto-Oncogene Proteins B-raf |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D053842 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Microsatellite Instability |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D009154 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Mutation |
| mesh[24].qualifier_ui | Q000235 |
| mesh[24].descriptor_ui | D016283 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | genetics |
| mesh[24].descriptor_name | Proto-Oncogene Proteins p21(ras) |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D020000 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Decision Support Systems, Clinical |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D006801 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Humans |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D001185 |
| mesh[27].is_major_topic | True |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Artificial Intelligence |
| mesh[28].qualifier_ui | Q000379 |
| mesh[28].descriptor_ui | D000066491 |
| mesh[28].is_major_topic | True |
| mesh[28].qualifier_name | methods |
| mesh[28].descriptor_name | Clinical Decision-Making |
| mesh[29].qualifier_ui | Q000379 |
| mesh[29].descriptor_ui | D057285 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | methods |
| mesh[29].descriptor_name | Precision Medicine |
| mesh[30].qualifier_ui | Q000235 |
| mesh[30].descriptor_ui | D009369 |
| mesh[30].is_major_topic | True |
| mesh[30].qualifier_name | genetics |
| mesh[30].descriptor_name | Neoplasms |
| mesh[31].qualifier_ui | Q000175 |
| mesh[31].descriptor_ui | D009369 |
| mesh[31].is_major_topic | True |
| mesh[31].qualifier_name | diagnosis |
| mesh[31].descriptor_name | Neoplasms |
| mesh[32].qualifier_ui | Q000628 |
| mesh[32].descriptor_ui | D009369 |
| mesh[32].is_major_topic | True |
| mesh[32].qualifier_name | therapy |
| mesh[32].descriptor_name | Neoplasms |
| mesh[33].qualifier_ui | Q000379 |
| mesh[33].descriptor_ui | D008495 |
| mesh[33].is_major_topic | True |
| mesh[33].qualifier_name | methods |
| mesh[33].descriptor_name | Medical Oncology |
| mesh[34].qualifier_ui | Q000235 |
| mesh[34].descriptor_ui | D048493 |
| mesh[34].is_major_topic | False |
| mesh[34].qualifier_name | genetics |
| mesh[34].descriptor_name | Proto-Oncogene Proteins B-raf |
| mesh[35].qualifier_ui | |
| mesh[35].descriptor_ui | D053842 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | |
| mesh[35].descriptor_name | Microsatellite Instability |
| mesh[36].qualifier_ui | |
| mesh[36].descriptor_ui | D009154 |
| mesh[36].is_major_topic | False |
| mesh[36].qualifier_name | |
| mesh[36].descriptor_name | Mutation |
| mesh[37].qualifier_ui | Q000235 |
| mesh[37].descriptor_ui | D016283 |
| mesh[37].is_major_topic | False |
| mesh[37].qualifier_name | genetics |
| mesh[37].descriptor_name | Proto-Oncogene Proteins p21(ras) |
| mesh[38].qualifier_ui | |
| mesh[38].descriptor_ui | D020000 |
| mesh[38].is_major_topic | False |
| mesh[38].qualifier_name | |
| mesh[38].descriptor_name | Decision Support Systems, Clinical |
| type | article |
| title | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology |
| biblio.issue | 8 |
| biblio.volume | 6 |
| biblio.last_page | 1349 |
| biblio.first_page | 1337 |
| topics[0].id | https://openalex.org/T12422 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9980999827384949 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2741 |
| topics[0].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[0].display_name | Radiomics and Machine Learning in Medical Imaging |
| topics[1].id | https://openalex.org/T11287 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9958000183105469 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1306 |
| topics[1].subfield.display_name | Cancer Research |
| topics[1].display_name | Cancer Genomics and Diagnostics |
| topics[2].id | https://openalex.org/T10862 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9955000281333923 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | AI in cancer detection |
| is_xpac | False |
| apc_list.value | 9750 |
| apc_list.currency | EUR |
| apc_list.value_usd | 11690 |
| apc_paid.value | 9750 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 11690 |
| concepts[0].id | https://openalex.org/C154945302 |
| concepts[0].level | 1 |
| concepts[0].score | 0.5644014477729797 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[0].display_name | Artificial intelligence |
| concepts[1].id | https://openalex.org/C2989179672 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5378756523132324 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q6806500 |
| concepts[1].display_name | Clinical decision making |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5053632855415344 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2781187634 |
| concepts[3].level | 4 |
| concepts[3].score | 0.458048015832901 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q20969980 |
| concepts[3].display_name | KRAS |
| concepts[4].id | https://openalex.org/C3020497934 |
| concepts[4].level | 3 |
| concepts[4].score | 0.43893739581108093 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q17075943 |
| concepts[4].display_name | Precision oncology |
| concepts[5].id | https://openalex.org/C2992965680 |
| concepts[5].level | 2 |
| concepts[5].score | 0.42158833146095276 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q598976 |
| concepts[5].display_name | Clinical microbiology |
| concepts[6].id | https://openalex.org/C19527891 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4163569509983063 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1120908 |
| concepts[6].display_name | Medical physics |
| concepts[7].id | https://openalex.org/C163763905 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4090577960014343 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q17075943 |
| concepts[7].display_name | Precision medicine |
| concepts[8].id | https://openalex.org/C71924100 |
| concepts[8].level | 0 |
| concepts[8].score | 0.2899908125400543 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[8].display_name | Medicine |
| concepts[9].id | https://openalex.org/C126322002 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2661806344985962 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[9].display_name | Internal medicine |
| concepts[10].id | https://openalex.org/C142724271 |
| concepts[10].level | 1 |
| concepts[10].score | 0.18667328357696533 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[10].display_name | Pathology |
| concepts[11].id | https://openalex.org/C121608353 |
| concepts[11].level | 2 |
| concepts[11].score | 0.12881222367286682 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q12078 |
| concepts[11].display_name | Cancer |
| concepts[12].id | https://openalex.org/C177713679 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q679690 |
| concepts[12].display_name | Intensive care medicine |
| concepts[13].id | https://openalex.org/C526805850 |
| concepts[13].level | 3 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q188874 |
| concepts[13].display_name | Colorectal cancer |
| concepts[14].id | https://openalex.org/C89423630 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7193 |
| concepts[14].display_name | Microbiology |
| concepts[15].id | https://openalex.org/C86803240 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[15].display_name | Biology |
| keywords[0].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[0].score | 0.5644014477729797 |
| keywords[0].display_name | Artificial intelligence |
| keywords[1].id | https://openalex.org/keywords/clinical-decision-making |
| keywords[1].score | 0.5378756523132324 |
| keywords[1].display_name | Clinical decision making |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.5053632855415344 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/kras |
| keywords[3].score | 0.458048015832901 |
| keywords[3].display_name | KRAS |
| keywords[4].id | https://openalex.org/keywords/precision-oncology |
| keywords[4].score | 0.43893739581108093 |
| keywords[4].display_name | Precision oncology |
| keywords[5].id | https://openalex.org/keywords/clinical-microbiology |
| keywords[5].score | 0.42158833146095276 |
| keywords[5].display_name | Clinical microbiology |
| keywords[6].id | https://openalex.org/keywords/medical-physics |
| keywords[6].score | 0.4163569509983063 |
| keywords[6].display_name | Medical physics |
| keywords[7].id | https://openalex.org/keywords/precision-medicine |
| keywords[7].score | 0.4090577960014343 |
| keywords[7].display_name | Precision medicine |
| keywords[8].id | https://openalex.org/keywords/medicine |
| keywords[8].score | 0.2899908125400543 |
| keywords[8].display_name | Medicine |
| keywords[9].id | https://openalex.org/keywords/internal-medicine |
| keywords[9].score | 0.2661806344985962 |
| keywords[9].display_name | Internal medicine |
| keywords[10].id | https://openalex.org/keywords/pathology |
| keywords[10].score | 0.18667328357696533 |
| keywords[10].display_name | Pathology |
| keywords[11].id | https://openalex.org/keywords/cancer |
| keywords[11].score | 0.12881222367286682 |
| keywords[11].display_name | Cancer |
| language | en |
| locations[0].id | doi:10.1038/s43018-025-00991-6 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210236562 |
| locations[0].source.issn | 2662-1347 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2662-1347 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Nature Cancer |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.nature.com/articles/s43018-025-00991-6.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Nature Cancer |
| locations[0].landing_page_url | https://doi.org/10.1038/s43018-025-00991-6 |
| locations[1].id | pmid:40481323 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Nature cancer |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40481323 |
| locations[2].id | pmh:oai:europepmc.org:11189173 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400806 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Europe PMC (PubMed Central) |
| locations[2].source.host_organization | https://openalex.org/I1303153112 |
| locations[2].source.host_organization_name | European Bioinformatics Institute |
| locations[2].source.host_organization_lineage | https://openalex.org/I1303153112 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12380607 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5048917650 |
| authorships[0].author.orcid | https://orcid.org/0009-0006-6195-9276 |
| authorships[0].author.display_name | Dyke Ferber |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I223822909, https://openalex.org/I2802164966, https://openalex.org/I4210111460 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I4210108778 |
| authorships[0].affiliations[1].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[0].institutions[0].id | https://openalex.org/I4210108778 |
| authorships[0].institutions[0].ror | https://ror.org/01v376g59 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210108778 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | Fresenius (Germany) |
| authorships[0].institutions[1].id | https://openalex.org/I223822909 |
| authorships[0].institutions[1].ror | https://ror.org/038t36y30 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I223822909 |
| authorships[0].institutions[1].country_code | DE |
| authorships[0].institutions[1].display_name | Heidelberg University |
| authorships[0].institutions[2].id | https://openalex.org/I4210111460 |
| authorships[0].institutions[2].ror | https://ror.org/01txwsw02 |
| authorships[0].institutions[2].type | healthcare |
| authorships[0].institutions[2].lineage | https://openalex.org/I4210111460 |
| authorships[0].institutions[2].country_code | DE |
| authorships[0].institutions[2].display_name | National Center for Tumor Diseases |
| authorships[0].institutions[3].id | https://openalex.org/I2802164966 |
| authorships[0].institutions[3].ror | https://ror.org/013czdx64 |
| authorships[0].institutions[3].type | healthcare |
| authorships[0].institutions[3].lineage | https://openalex.org/I2802164966 |
| authorships[0].institutions[3].country_code | DE |
| authorships[0].institutions[3].display_name | University Hospital Heidelberg |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dyke Ferber |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany., Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[1].author.id | https://openalex.org/A5074325740 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2542-2117 |
| authorships[1].author.display_name | Omar S. M. El Nahhas |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210108778 |
| authorships[1].affiliations[0].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[1].institutions[0].id | https://openalex.org/I4210108778 |
| authorships[1].institutions[0].ror | https://ror.org/01v376g59 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210108778 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | Fresenius (Germany) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Omar S M El Nahhas |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[2].author.id | https://openalex.org/A5056031179 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0407-7617 |
| authorships[2].author.display_name | Georg Wölflein |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I16835326 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Computer Science, University of St Andrews, St Andrews, UK. |
| authorships[2].institutions[0].id | https://openalex.org/I16835326 |
| authorships[2].institutions[0].ror | https://ror.org/02wn5qz54 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I16835326 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of St Andrews |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Georg Wölflein |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Computer Science, University of St Andrews, St Andrews, UK. |
| authorships[3].author.id | https://openalex.org/A5020954920 |
| authorships[3].author.orcid | https://orcid.org/0009-0004-4848-614X |
| authorships[3].author.display_name | Isabella C. Wiest |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I223822909, https://openalex.org/I2802164966, https://openalex.org/I4210156450 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I4210108778 |
| authorships[3].affiliations[1].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[3].institutions[0].id | https://openalex.org/I4210108778 |
| authorships[3].institutions[0].ror | https://ror.org/01v376g59 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210108778 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Fresenius (Germany) |
| authorships[3].institutions[1].id | https://openalex.org/I223822909 |
| authorships[3].institutions[1].ror | https://ror.org/038t36y30 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I223822909 |
| authorships[3].institutions[1].country_code | DE |
| authorships[3].institutions[1].display_name | Heidelberg University |
| authorships[3].institutions[2].id | https://openalex.org/I2802164966 |
| authorships[3].institutions[2].ror | https://ror.org/013czdx64 |
| authorships[3].institutions[2].type | healthcare |
| authorships[3].institutions[2].lineage | https://openalex.org/I2802164966 |
| authorships[3].institutions[2].country_code | DE |
| authorships[3].institutions[2].display_name | University Hospital Heidelberg |
| authorships[3].institutions[3].id | https://openalex.org/I4210156450 |
| authorships[3].institutions[3].ror | https://ror.org/05sxbyd35 |
| authorships[3].institutions[3].type | healthcare |
| authorships[3].institutions[3].lineage | https://openalex.org/I4210156450 |
| authorships[3].institutions[3].country_code | DE |
| authorships[3].institutions[3].display_name | University Medical Centre Mannheim |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Isabella C Wiest |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany., Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[4].author.id | https://openalex.org/A5038711899 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2925-8438 |
| authorships[4].author.display_name | Jan Clusmann |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210108778 |
| authorships[4].affiliations[0].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I887968799 |
| authorships[4].affiliations[1].raw_affiliation_string | Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany. |
| authorships[4].institutions[0].id | https://openalex.org/I4210108778 |
| authorships[4].institutions[0].ror | https://ror.org/01v376g59 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210108778 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | Fresenius (Germany) |
| authorships[4].institutions[1].id | https://openalex.org/I887968799 |
| authorships[4].institutions[1].ror | https://ror.org/04xfq0f34 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I887968799 |
| authorships[4].institutions[1].country_code | DE |
| authorships[4].institutions[1].display_name | RWTH Aachen University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jan Clusmann |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[5].author.id | https://openalex.org/A5007284791 |
| authorships[5].author.orcid | https://orcid.org/0009-0005-7029-0028 |
| authorships[5].author.display_name | Marie-Elisabeth Leßmann |
| authorships[5].countries | DE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210108778 |
| authorships[5].affiliations[0].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[5].affiliations[1].raw_affiliation_string | Department of Medicine I, University Hospital Dresden, Dresden, Germany. |
| authorships[5].institutions[0].id | https://openalex.org/I4210108778 |
| authorships[5].institutions[0].ror | https://ror.org/01v376g59 |
| authorships[5].institutions[0].type | company |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210108778 |
| authorships[5].institutions[0].country_code | DE |
| authorships[5].institutions[0].display_name | Fresenius (Germany) |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Marie-Elisabeth Leßmann |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Medicine I, University Hospital Dresden, Dresden, Germany., Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. |
| authorships[6].author.id | https://openalex.org/A5073167797 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-4740-6900 |
| authorships[6].author.display_name | Sebastian Foersch |
| authorships[6].countries | DE |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I197323543, https://openalex.org/I4210094062 |
| authorships[6].affiliations[0].raw_affiliation_string | Institute of Pathology, University Medical Center Mainz, Mainz, Germany. |
| authorships[6].institutions[0].id | https://openalex.org/I197323543 |
| authorships[6].institutions[0].ror | https://ror.org/023b0x485 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I197323543 |
| authorships[6].institutions[0].country_code | DE |
| authorships[6].institutions[0].display_name | Johannes Gutenberg University Mainz |
| authorships[6].institutions[1].id | https://openalex.org/I4210094062 |
| authorships[6].institutions[1].ror | https://ror.org/00q1fsf04 |
| authorships[6].institutions[1].type | healthcare |
| authorships[6].institutions[1].lineage | https://openalex.org/I4210094062 |
| authorships[6].institutions[1].country_code | DE |
| authorships[6].institutions[1].display_name | University Medical Center of the Johannes Gutenberg University Mainz |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Sebastian Foersch |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Institute of Pathology, University Medical Center Mainz, Mainz, Germany. |
| authorships[7].author.id | https://openalex.org/A5031142912 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-0380-574X |
| authorships[7].author.display_name | Jacqueline Lammert |
| authorships[7].countries | DE |
| authorships[7].affiliations[0].raw_affiliation_string | European Network for Rare Cancers (EURACAN) Initiative, Munich, Germany. |
| authorships[7].affiliations[1].institution_ids | https://openalex.org/I2802619606, https://openalex.org/I62916508 |
| authorships[7].affiliations[1].raw_affiliation_string | Center for Personalized Medicine (ZPM), University Hospital rechts der Isar, Technical University of Munich (TUM), Munich, Germany. |
| authorships[7].affiliations[2].institution_ids | https://openalex.org/I2802619606, https://openalex.org/I62916508 |
| authorships[7].affiliations[2].raw_affiliation_string | Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, University Hospital rechts der Isar, Technical University of Munich (TUM), Munich, Germany. |
| authorships[7].affiliations[3].institution_ids | https://openalex.org/I4391767962 |
| authorships[7].affiliations[3].raw_affiliation_string | German Cancer Consortium (DKTK), Munich, Germany. |
| authorships[7].institutions[0].id | https://openalex.org/I4391767962 |
| authorships[7].institutions[0].ror | https://ror.org/02pqn3g31 |
| authorships[7].institutions[0].type | facility |
| authorships[7].institutions[0].lineage | https://openalex.org/I4391767962, https://openalex.org/I4411590659 |
| authorships[7].institutions[0].country_code | |
| authorships[7].institutions[0].display_name | Deutschen Konsortium für Translationale Krebsforschung |
| authorships[7].institutions[1].id | https://openalex.org/I2802619606 |
| authorships[7].institutions[1].ror | https://ror.org/04jc43x05 |
| authorships[7].institutions[1].type | healthcare |
| authorships[7].institutions[1].lineage | https://openalex.org/I2802619606, https://openalex.org/I62916508 |
| authorships[7].institutions[1].country_code | DE |
| authorships[7].institutions[1].display_name | Klinikum rechts der Isar |
| authorships[7].institutions[2].id | https://openalex.org/I62916508 |
| authorships[7].institutions[2].ror | https://ror.org/02kkvpp62 |
| authorships[7].institutions[2].type | education |
| authorships[7].institutions[2].lineage | https://openalex.org/I62916508 |
| authorships[7].institutions[2].country_code | DE |
| authorships[7].institutions[2].display_name | Technical University of Munich |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Jacqueline Lammert |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Center for Personalized Medicine (ZPM), University Hospital rechts der Isar, Technical University of Munich (TUM), Munich, Germany., Department of Gynecology and Center for Hereditary Breast and Ovarian Cancer, University Hospital rechts der Isar, Technical University of Munich (TUM), Munich, Germany., European Network for Rare Cancers (EURACAN) Initiative, Munich, Germany., German Cancer Consortium (DKTK), Munich, Germany. |
| authorships[8].author.id | https://openalex.org/A5025827068 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Maximilian Tschochohei |
| authorships[8].affiliations[0].raw_affiliation_string | Google Cloud, Munich, Germany. |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Maximilian Tschochohei |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Google Cloud, Munich, Germany. |
| authorships[9].author.id | https://openalex.org/A5087362432 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-1276-7802 |
| authorships[9].author.display_name | Dirk Jaeger |
| authorships[9].countries | DE |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I223822909, https://openalex.org/I2802164966, https://openalex.org/I4210111460 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. |
| authorships[9].institutions[0].id | https://openalex.org/I223822909 |
| authorships[9].institutions[0].ror | https://ror.org/038t36y30 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I223822909 |
| authorships[9].institutions[0].country_code | DE |
| authorships[9].institutions[0].display_name | Heidelberg University |
| authorships[9].institutions[1].id | https://openalex.org/I4210111460 |
| authorships[9].institutions[1].ror | https://ror.org/01txwsw02 |
| authorships[9].institutions[1].type | healthcare |
| authorships[9].institutions[1].lineage | https://openalex.org/I4210111460 |
| authorships[9].institutions[1].country_code | DE |
| authorships[9].institutions[1].display_name | National Center for Tumor Diseases |
| authorships[9].institutions[2].id | https://openalex.org/I2802164966 |
| authorships[9].institutions[2].ror | https://ror.org/013czdx64 |
| authorships[9].institutions[2].type | healthcare |
| authorships[9].institutions[2].lineage | https://openalex.org/I2802164966 |
| authorships[9].institutions[2].country_code | DE |
| authorships[9].institutions[2].display_name | University Hospital Heidelberg |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Dirk Jäger |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. |
| authorships[10].author.id | https://openalex.org/A5045420024 |
| authorships[10].author.orcid | https://orcid.org/0000-0001-8586-282X |
| authorships[10].author.display_name | Manuel Salto‐Tellez |
| authorships[10].countries | GB |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I4210121186 |
| authorships[10].affiliations[0].raw_affiliation_string | Integrated Pathology Unit, Institute for Cancer Research and Royal Marsden Hospital, London, UK. |
| authorships[10].institutions[0].id | https://openalex.org/I4210121186 |
| authorships[10].institutions[0].ror | https://ror.org/034vb5t35 |
| authorships[10].institutions[0].type | healthcare |
| authorships[10].institutions[0].lineage | https://openalex.org/I1325846038, https://openalex.org/I4210121186 |
| authorships[10].institutions[0].country_code | GB |
| authorships[10].institutions[0].display_name | Royal Marsden Hospital |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Manuel Salto-Tellez |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Integrated Pathology Unit, Institute for Cancer Research and Royal Marsden Hospital, London, UK. |
| authorships[11].author.id | https://openalex.org/A5033125884 |
| authorships[11].author.orcid | https://orcid.org/0000-0002-0131-4904 |
| authorships[11].author.display_name | Nikolaus Schultz |
| authorships[11].countries | US |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I1334819555 |
| authorships[11].affiliations[0].raw_affiliation_string | Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. |
| authorships[11].institutions[0].id | https://openalex.org/I1334819555 |
| authorships[11].institutions[0].ror | https://ror.org/02yrq0923 |
| authorships[11].institutions[0].type | healthcare |
| authorships[11].institutions[0].lineage | https://openalex.org/I1334819555 |
| authorships[11].institutions[0].country_code | US |
| authorships[11].institutions[0].display_name | Memorial Sloan Kettering Cancer Center |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Nikolaus Schultz |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. |
| authorships[12].author.id | https://openalex.org/A5016512818 |
| authorships[12].author.orcid | https://orcid.org/0000-0002-9605-0728 |
| authorships[12].author.display_name | Daniel Truhn |
| authorships[12].countries | DE |
| authorships[12].affiliations[0].institution_ids | https://openalex.org/I4210120689 |
| authorships[12].affiliations[0].raw_affiliation_string | Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany. |
| authorships[12].institutions[0].id | https://openalex.org/I4210120689 |
| authorships[12].institutions[0].ror | https://ror.org/02gm5zw39 |
| authorships[12].institutions[0].type | healthcare |
| authorships[12].institutions[0].lineage | https://openalex.org/I4210120689 |
| authorships[12].institutions[0].country_code | DE |
| authorships[12].institutions[0].display_name | Universitätsklinikum Aachen |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Daniel Truhn |
| authorships[12].is_corresponding | False |
| authorships[12].raw_affiliation_strings | Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany. |
| authorships[13].author.id | https://openalex.org/A5073483894 |
| authorships[13].author.orcid | https://orcid.org/0000-0002-3730-5348 |
| authorships[13].author.display_name | Jakob Nikolas Kather |
| authorships[13].countries | DE |
| authorships[13].affiliations[0].institution_ids | https://openalex.org/I223822909, https://openalex.org/I2802164966, https://openalex.org/I4210111460 |
| authorships[13].affiliations[0].raw_affiliation_string | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. [email protected]. |
| authorships[13].affiliations[1].institution_ids | https://openalex.org/I78650965 |
| authorships[13].affiliations[1].raw_affiliation_string | Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. [email protected]. |
| authorships[13].institutions[0].id | https://openalex.org/I223822909 |
| authorships[13].institutions[0].ror | https://ror.org/038t36y30 |
| authorships[13].institutions[0].type | education |
| authorships[13].institutions[0].lineage | https://openalex.org/I223822909 |
| authorships[13].institutions[0].country_code | DE |
| authorships[13].institutions[0].display_name | Heidelberg University |
| authorships[13].institutions[1].id | https://openalex.org/I4210111460 |
| authorships[13].institutions[1].ror | https://ror.org/01txwsw02 |
| authorships[13].institutions[1].type | healthcare |
| authorships[13].institutions[1].lineage | https://openalex.org/I4210111460 |
| authorships[13].institutions[1].country_code | DE |
| authorships[13].institutions[1].display_name | National Center for Tumor Diseases |
| authorships[13].institutions[2].id | https://openalex.org/I78650965 |
| authorships[13].institutions[2].ror | https://ror.org/042aqky30 |
| authorships[13].institutions[2].type | education |
| authorships[13].institutions[2].lineage | https://openalex.org/I78650965 |
| authorships[13].institutions[2].country_code | DE |
| authorships[13].institutions[2].display_name | Technische Universität Dresden |
| authorships[13].institutions[3].id | https://openalex.org/I2802164966 |
| authorships[13].institutions[3].ror | https://ror.org/013czdx64 |
| authorships[13].institutions[3].type | healthcare |
| authorships[13].institutions[3].lineage | https://openalex.org/I2802164966 |
| authorships[13].institutions[3].country_code | DE |
| authorships[13].institutions[3].display_name | University Hospital Heidelberg |
| authorships[13].author_position | last |
| authorships[13].raw_author_name | Jakob Nikolas Kather |
| authorships[13].is_corresponding | False |
| authorships[13].raw_affiliation_strings | Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. [email protected]., Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. [email protected]. |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s43018-025-00991-6.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12422 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9980999827384949 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2741 |
| primary_topic.subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| primary_topic.display_name | Radiomics and Machine Learning in Medical Imaging |
| related_works | https://openalex.org/W2751417344, https://openalex.org/W4392240901, https://openalex.org/W4224251126, https://openalex.org/W4390733788, https://openalex.org/W4405421352, https://openalex.org/W4200579603, https://openalex.org/W4389462258, https://openalex.org/W4380786209, https://openalex.org/W4390969366, https://openalex.org/W3040899714 |
| cited_by_count | 26 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 26 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1038/s43018-025-00991-6 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210236562 |
| best_oa_location.source.issn | 2662-1347 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2662-1347 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Nature Cancer |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.nature.com/articles/s43018-025-00991-6.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Nature Cancer |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s43018-025-00991-6 |
| primary_location.id | doi:10.1038/s43018-025-00991-6 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210236562 |
| primary_location.source.issn | 2662-1347 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2662-1347 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Nature Cancer |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.nature.com/articles/s43018-025-00991-6.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Nature Cancer |
| primary_location.landing_page_url | https://doi.org/10.1038/s43018-025-00991-6 |
| publication_date | 2025-06-06 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4362515116, https://openalex.org/W4327810158, https://openalex.org/W4360891289, https://openalex.org/W4397003633, https://openalex.org/W4295951577, https://openalex.org/W4304014045, https://openalex.org/W4387296225, https://openalex.org/W4291021272, https://openalex.org/W4399567248, https://openalex.org/W6869501992, https://openalex.org/W4365143687, https://openalex.org/W4392044798, https://openalex.org/W6855698372, https://openalex.org/W4396570449, https://openalex.org/W4391360382, https://openalex.org/W4389116614, https://openalex.org/W3027879771, https://openalex.org/W4323076364, https://openalex.org/W4391221150, https://openalex.org/W4304195432, https://openalex.org/W4320165837, https://openalex.org/W4386301794, https://openalex.org/W4392016947, https://openalex.org/W4386779590, https://openalex.org/W2948930564, https://openalex.org/W4391109864, https://openalex.org/W6852542133, https://openalex.org/W4386303561, https://openalex.org/W4392576564, https://openalex.org/W6738337739, https://openalex.org/W3012608737, https://openalex.org/W4391334956, https://openalex.org/W4390723197, https://openalex.org/W4387744047, https://openalex.org/W4388413642, https://openalex.org/W4399554476, https://openalex.org/W4226086425, https://openalex.org/W4405621262, https://openalex.org/W4392019609, https://openalex.org/W4392679398, https://openalex.org/W4396914177, https://openalex.org/W4292779060, https://openalex.org/W4399430460, https://openalex.org/W4403914761, https://openalex.org/W4382678522, https://openalex.org/W2009803695, https://openalex.org/W2773056217, https://openalex.org/W4288809219, https://openalex.org/W4389983955, https://openalex.org/W4402581324, https://openalex.org/W4387430850, https://openalex.org/W3125238517, https://openalex.org/W4221143046, https://openalex.org/W2083927153, https://openalex.org/W4313197536, https://openalex.org/W4384071683, https://openalex.org/W2614443510 |
| referenced_works_count | 57 |
| abstract_inverted_index.a | 140 |
| abstract_inverted_index.20 | 73 |
| abstract_inverted_index.AI | 79, 112 |
| abstract_inverted_index.We | 16 |
| abstract_inverted_index.an | 20 |
| abstract_inverted_index.as | 66 |
| abstract_inverted_index.in | 3, 92 |
| abstract_inverted_index.is | 5 |
| abstract_inverted_index.of | 10, 94, 103 |
| abstract_inverted_index.on | 72 |
| abstract_inverted_index.to | 34, 107, 120 |
| abstract_inverted_index.The | 39 |
| abstract_inverted_index.and | 13, 18, 48, 50, 61, 69, 96, 132 |
| abstract_inverted_index.for | 44, 57, 143 |
| abstract_inverted_index.the | 8, 78, 104, 110 |
| abstract_inverted_index.(AI) | 25 |
| abstract_inverted_index.BRAF | 51 |
| abstract_inverted_index.KRAS | 49 |
| abstract_inverted_index.data | 12 |
| abstract_inverted_index.from | 53, 118 |
| abstract_inverted_index.such | 65 |
| abstract_inverted_index.that | 125 |
| abstract_inverted_index.used | 82 |
| abstract_inverted_index.with | 29, 85, 129 |
| abstract_inverted_index.30.3% | 119 |
| abstract_inverted_index.75.5% | 102 |
| abstract_inverted_index.87.5% | 86 |
| abstract_inverted_index.91.0% | 93 |
| abstract_inverted_index.GPT-4 | 28, 108 |
| abstract_inverted_index.These | 122 |
| abstract_inverted_index.agent | 26, 80, 113 |
| abstract_inverted_index.cases | 95 |
| abstract_inverted_index.cited | 98 |
| abstract_inverted_index.image | 59 |
| abstract_inverted_index.time. | 105 |
| abstract_inverted_index.tools | 33, 64, 84, 134 |
| abstract_inverted_index.87.2%. | 121 |
| abstract_inverted_index.MedSAM | 56 |
| abstract_inverted_index.PubMed | 68 |
| abstract_inverted_index.alone, | 109 |
| abstract_inverted_index.cases, | 77 |
| abstract_inverted_index.models | 128 |
| abstract_inverted_index.robust | 141 |
| abstract_inverted_index.search | 63, 133 |
| abstract_inverted_index.system | 40 |
| abstract_inverted_index.vision | 42 |
| abstract_inverted_index.Google. | 70 |
| abstract_inverted_index.OncoKB, | 67 |
| abstract_inverted_index.correct | 89 |
| abstract_inverted_index.patient | 76 |
| abstract_inverted_index.reached | 88 |
| abstract_inverted_index.slides, | 55 |
| abstract_inverted_index.support | 35, 148 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Clinical | 1 |
| abstract_inverted_index.Compared | 106 |
| abstract_inverted_index.accuracy | 117 |
| abstract_inverted_index.clinical | 22, 37, 90, 137 |
| abstract_inverted_index.complex, | 6 |
| abstract_inverted_index.enhances | 136 |
| abstract_inverted_index.findings | 123 |
| abstract_inverted_index.improved | 115 |
| abstract_inverted_index.language | 127 |
| abstract_inverted_index.oncology | 4, 32, 100, 131, 147 |
| abstract_inverted_index.relevant | 99 |
| abstract_inverted_index.systems. | 149 |
| abstract_inverted_index.AI-driven | 145 |
| abstract_inverted_index.Evaluated | 71 |
| abstract_inverted_index.accuracy, | 87, 138 |
| abstract_inverted_index.deploying | 144 |
| abstract_inverted_index.detecting | 45 |
| abstract_inverted_index.developed | 17 |
| abstract_inverted_index.evaluated | 19 |
| abstract_inverted_index.mutations | 52 |
| abstract_inverted_index.precision | 31, 130 |
| abstract_inverted_index.realistic | 74 |
| abstract_inverted_index.requiring | 7 |
| abstract_inverted_index.web-based | 62 |
| abstract_inverted_index.accurately | 97 |
| abstract_inverted_index.artificial | 23 |
| abstract_inverted_index.autonomous | 21 |
| abstract_inverted_index.expertise. | 15 |
| abstract_inverted_index.foundation | 142 |
| abstract_inverted_index.guidelines | 101 |
| abstract_inverted_index.integrated | 111 |
| abstract_inverted_index.leveraging | 27 |
| abstract_inverted_index.multimodal | 11, 30, 75 |
| abstract_inverted_index.appropriate | 83 |
| abstract_inverted_index.conclusions | 91 |
| abstract_inverted_index.demonstrate | 124 |
| abstract_inverted_index.drastically | 114 |
| abstract_inverted_index.instability | 47 |
| abstract_inverted_index.integrating | 126 |
| abstract_inverted_index.integration | 9 |
| abstract_inverted_index.multidomain | 14 |
| abstract_inverted_index.autonomously | 81 |
| abstract_inverted_index.establishing | 139 |
| abstract_inverted_index.incorporates | 41 |
| abstract_inverted_index.intelligence | 24 |
| abstract_inverted_index.personalized | 36, 146 |
| abstract_inverted_index.radiological | 58 |
| abstract_inverted_index.segmentation | 60 |
| abstract_inverted_index.transformers | 43 |
| abstract_inverted_index.substantially | 135 |
| abstract_inverted_index.histopathology | 54 |
| abstract_inverted_index.microsatellite | 46 |
| abstract_inverted_index.decision-making | 2, 116 |
| abstract_inverted_index.decision-making. | 38 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 14 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.99958481 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |