The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data Article Swipe
Chih-Chi Chen
,
Jen‐Fu Huang
,
Wei‐Cheng Lin
,
Chi‐Tung Cheng
,
Shann-Ching Chen
,
Chih‐Yuan Fu
,
Mel S. Lee
,
Chien‐Hung Liao
,
Chia-Ying Chung
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/bioengineering10040458
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/bioengineering10040458
(1) Background: Hip degenerative disorder is a common geriatric disease is the main causes to lead to total hip replacement (THR). The surgical timing of THR is crucial for post-operative recovery. Deep learning (DL) algorithms can be used to detect anomalies in medical images and predict the need for THR. The real world data (RWD) were used to validate the artificial intelligence and DL algorithm in medicine but there was no previous study to prove its function in THR prediction. (2) Methods: We designed a sequential two-stage hip replacement prediction deep learning algorithm to identify the possibility of THR in three months of hip joints by plain pelvic radiography (PXR). We also collected RWD to validate the performance of this algorithm. (3) Results: The RWD totally included 3766 PXRs from 2018 to 2019. The overall accuracy of the algorithm was 0.9633; sensitivity was 0.9450; specificity was 1.000 and the precision was 1.000. The negative predictive value was 0.9009, the false negative rate was 0.0550, and the F1 score was 0.9717. The area under curve was 0.972 with 95% confidence interval from 0.953 to 0.987. (4) Conclusions: In summary, this DL algorithm can provide an accurate and reliable method for detecting hip degeneration and predicting the need for further THR. RWD offered an alternative support of the algorithm and validated its function to save time and cost.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/bioengineering10040458
- https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667
- OA Status
- gold
- Cited By
- 5
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4363676325
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4363676325Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/bioengineering10040458Digital Object Identifier
- Title
-
The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World DataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-09Full publication date if available
- Authors
-
Chih-Chi Chen, Jen‐Fu Huang, Wei‐Cheng Lin, Chi‐Tung Cheng, Shann-Ching Chen, Chih‐Yuan Fu, Mel S. Lee, Chien‐Hung Liao, Chia-Ying ChungList of authors in order
- Landing page
-
https://doi.org/10.3390/bioengineering10040458Publisher landing page
- PDF URL
-
https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667Direct OA link when available
- Concepts
-
Algorithm, Confidence interval, Computer science, Machine learning, Artificial intelligence, Medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4363676325 |
|---|---|
| doi | https://doi.org/10.3390/bioengineering10040458 |
| ids.doi | https://doi.org/10.3390/bioengineering10040458 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/37106645 |
| ids.openalex | https://openalex.org/W4363676325 |
| fwci | 1.54527483 |
| type | article |
| title | The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data |
| awards[0].id | https://openalex.org/G3257232117 |
| awards[0].funder_id | https://openalex.org/F4320322767 |
| awards[0].display_name | |
| awards[0].funder_award_id | CIRPG3H0021 |
| awards[0].funder_display_name | Chang Gung Medical Foundation |
| awards[1].id | https://openalex.org/G1004281421 |
| awards[1].funder_id | https://openalex.org/F4320322767 |
| awards[1].display_name | |
| awards[1].funder_award_id | CMRPG3K0801 |
| awards[1].funder_display_name | Chang Gung Medical Foundation |
| biblio.issue | 4 |
| biblio.volume | 10 |
| biblio.last_page | 458 |
| biblio.first_page | 458 |
| 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 | 0.9814000129699707 |
| 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/T11775 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9801999926567078 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2741 |
| topics[1].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[1].display_name | COVID-19 diagnosis using AI |
| topics[2].id | https://openalex.org/T11636 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9710999727249146 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2718 |
| topics[2].subfield.display_name | Health Informatics |
| topics[2].display_name | Artificial Intelligence in Healthcare and Education |
| funders[0].id | https://openalex.org/F4320322767 |
| funders[0].ror | https://ror.org/02verss31 |
| funders[0].display_name | Chang Gung Medical Foundation |
| is_xpac | False |
| apc_list.value | 1700 |
| apc_list.currency | CHF |
| apc_list.value_usd | 1840 |
| apc_paid.value | 1700 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 1840 |
| concepts[0].id | https://openalex.org/C11413529 |
| concepts[0].level | 1 |
| concepts[0].score | 0.7261867523193359 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[0].display_name | Algorithm |
| concepts[1].id | https://openalex.org/C44249647 |
| concepts[1].level | 2 |
| concepts[1].score | 0.48990076780319214 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q208498 |
| concepts[1].display_name | Confidence interval |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.47594761848449707 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C119857082 |
| concepts[3].level | 1 |
| concepts[3].score | 0.46089261770248413 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[3].display_name | Machine learning |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.44182541966438293 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C71924100 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3608543276786804 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[5].display_name | Medicine |
| concepts[6].id | https://openalex.org/C126322002 |
| concepts[6].level | 1 |
| concepts[6].score | 0.14385342597961426 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[6].display_name | Internal medicine |
| keywords[0].id | https://openalex.org/keywords/algorithm |
| keywords[0].score | 0.7261867523193359 |
| keywords[0].display_name | Algorithm |
| keywords[1].id | https://openalex.org/keywords/confidence-interval |
| keywords[1].score | 0.48990076780319214 |
| keywords[1].display_name | Confidence interval |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.47594761848449707 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/machine-learning |
| keywords[3].score | 0.46089261770248413 |
| keywords[3].display_name | Machine learning |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.44182541966438293 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/medicine |
| keywords[5].score | 0.3608543276786804 |
| keywords[5].display_name | Medicine |
| keywords[6].id | https://openalex.org/keywords/internal-medicine |
| keywords[6].score | 0.14385342597961426 |
| keywords[6].display_name | Internal medicine |
| language | en |
| locations[0].id | doi:10.3390/bioengineering10040458 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210179121 |
| locations[0].source.issn | 2306-5354 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2306-5354 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Bioengineering |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667 |
| 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 | Bioengineering |
| locations[0].landing_page_url | https://doi.org/10.3390/bioengineering10040458 |
| locations[1].id | pmid:37106645 |
| 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 | Bioengineering (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/37106645 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10136253 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| 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 | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10136253/pdf/bioengineering-10-00458.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Bioengineering (Basel) |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10136253 |
| locations[3].id | pmh:oai:doaj.org/article:e66d8beb79184f89ab59c44aa8a159ab |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Bioengineering, Vol 10, Iss 4, p 458 (2023) |
| locations[3].landing_page_url | https://doaj.org/article/e66d8beb79184f89ab59c44aa8a159ab |
| locations[4].id | pmh:oai:mdpi.com:/2306-5354/10/4/458/ |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S4306400947 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | True |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | MDPI (MDPI AG) |
| locations[4].source.host_organization | https://openalex.org/I4210097602 |
| locations[4].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[4].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[4].license | cc-by |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Text |
| locations[4].license_id | https://openalex.org/licenses/cc-by |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | Pages: 458 |
| locations[4].landing_page_url | https://dx.doi.org/10.3390/bioengineering10040458 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5081527453 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9132-5289 |
| authorships[0].author.display_name | Chih-Chi Chen |
| authorships[0].countries | TW |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[0].institutions[0].id | https://openalex.org/I173093425 |
| authorships[0].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[0].institutions[0].country_code | TW |
| authorships[0].institutions[0].display_name | Chang Gung University |
| authorships[0].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[0].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[0].institutions[1].type | healthcare |
| authorships[0].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[0].institutions[1].country_code | TW |
| authorships[0].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Chih-Chi Chen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[1].author.id | https://openalex.org/A5045103654 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8185-8372 |
| authorships[1].author.display_name | Jen‐Fu Huang |
| authorships[1].countries | TW |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[1].institutions[0].id | https://openalex.org/I173093425 |
| authorships[1].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[1].institutions[0].country_code | TW |
| authorships[1].institutions[0].display_name | Chang Gung University |
| authorships[1].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[1].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[1].institutions[1].type | healthcare |
| authorships[1].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[1].institutions[1].country_code | TW |
| authorships[1].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jen-Fu Huang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[2].author.id | https://openalex.org/A5087667871 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9248-6850 |
| authorships[2].author.display_name | Wei‐Cheng Lin |
| authorships[2].countries | TW |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I173093425 |
| authorships[2].affiliations[1].raw_affiliation_string | Department of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan |
| authorships[2].institutions[0].id | https://openalex.org/I173093425 |
| authorships[2].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[2].institutions[0].country_code | TW |
| authorships[2].institutions[0].display_name | Chang Gung University |
| authorships[2].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[2].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[2].institutions[1].type | healthcare |
| authorships[2].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[2].institutions[1].country_code | TW |
| authorships[2].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Wei-Cheng Lin |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan, Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[3].author.id | https://openalex.org/A5021557615 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-2697-4642 |
| authorships[3].author.display_name | Chi‐Tung Cheng |
| authorships[3].countries | TW |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[3].institutions[0].id | https://openalex.org/I173093425 |
| authorships[3].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[3].institutions[0].country_code | TW |
| authorships[3].institutions[0].display_name | Chang Gung University |
| authorships[3].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[3].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[3].institutions[1].type | healthcare |
| authorships[3].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[3].institutions[1].country_code | TW |
| authorships[3].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Chi-Tung Cheng |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[4].author.id | https://openalex.org/A5036664529 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-2757-0471 |
| authorships[4].author.display_name | Shann-Ching Chen |
| authorships[4].countries | TW |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[4].institutions[0].id | https://openalex.org/I173093425 |
| authorships[4].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[4].institutions[0].country_code | TW |
| authorships[4].institutions[0].display_name | Chang Gung University |
| authorships[4].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[4].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[4].institutions[1].type | healthcare |
| authorships[4].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[4].institutions[1].country_code | TW |
| authorships[4].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Shann-Ching Chen |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[5].author.id | https://openalex.org/A5066090576 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-1536-1549 |
| authorships[5].author.display_name | Chih‐Yuan Fu |
| authorships[5].countries | TW |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[5].institutions[0].id | https://openalex.org/I173093425 |
| authorships[5].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[5].institutions[0].country_code | TW |
| authorships[5].institutions[0].display_name | Chang Gung University |
| authorships[5].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[5].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[5].institutions[1].type | healthcare |
| authorships[5].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[5].institutions[1].country_code | TW |
| authorships[5].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Chih-Yuan Fu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[6].author.id | https://openalex.org/A5008077323 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-8736-6122 |
| authorships[6].author.display_name | Mel S. Lee |
| authorships[6].countries | TW |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210152902 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Orthopaedic Surgery, Pao-Chien Hospital, Pingtung 90078, Taiwan |
| authorships[6].institutions[0].id | https://openalex.org/I4210152902 |
| authorships[6].institutions[0].ror | https://ror.org/04vq5jh35 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210152902 |
| authorships[6].institutions[0].country_code | TW |
| authorships[6].institutions[0].display_name | Paochien Hospital |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Mel S. Lee |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Orthopaedic Surgery, Pao-Chien Hospital, Pingtung 90078, Taiwan |
| authorships[7].author.id | https://openalex.org/A5087399963 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-2812-9773 |
| authorships[7].author.display_name | Chien‐Hung Liao |
| authorships[7].countries | TW |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[7].institutions[0].id | https://openalex.org/I173093425 |
| authorships[7].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[7].institutions[0].country_code | TW |
| authorships[7].institutions[0].display_name | Chang Gung University |
| authorships[7].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[7].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[7].institutions[1].type | healthcare |
| authorships[7].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[7].institutions[1].country_code | TW |
| authorships[7].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Chien-Hung Liao |
| authorships[7].is_corresponding | True |
| authorships[7].raw_affiliation_strings | Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[8].author.id | https://openalex.org/A5013156381 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-2146-6040 |
| authorships[8].author.display_name | Chia-Ying Chung |
| authorships[8].countries | TW |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| authorships[8].affiliations[0].raw_affiliation_string | Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| authorships[8].institutions[0].id | https://openalex.org/I173093425 |
| authorships[8].institutions[0].ror | https://ror.org/00d80zx46 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I173093425 |
| authorships[8].institutions[0].country_code | TW |
| authorships[8].institutions[0].display_name | Chang Gung University |
| authorships[8].institutions[1].id | https://openalex.org/I4210116208 |
| authorships[8].institutions[1].ror | https://ror.org/02dnn6q67 |
| authorships[8].institutions[1].type | healthcare |
| authorships[8].institutions[1].lineage | https://openalex.org/I3020100970, https://openalex.org/I4210116208 |
| authorships[8].institutions[1].country_code | TW |
| authorships[8].institutions[1].display_name | Linkou Chang Gung Memorial Hospital |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Chia-Ying Chung |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University, Linkou, Taoyuan 33328, Taiwan |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data |
| has_fulltext | False |
| 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 | 0.9814000129699707 |
| 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/W2961085424, https://openalex.org/W4306674287, https://openalex.org/W3046775127, https://openalex.org/W3107602296, https://openalex.org/W3170094116, https://openalex.org/W4386462264, https://openalex.org/W4313488044, https://openalex.org/W3209574120, https://openalex.org/W4312192474, https://openalex.org/W4210805261 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 5 |
| best_oa_location.id | doi:10.3390/bioengineering10040458 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210179121 |
| best_oa_location.source.issn | 2306-5354 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2306-5354 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Bioengineering |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667 |
| 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 | Bioengineering |
| best_oa_location.landing_page_url | https://doi.org/10.3390/bioengineering10040458 |
| primary_location.id | doi:10.3390/bioengineering10040458 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210179121 |
| primary_location.source.issn | 2306-5354 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2306-5354 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Bioengineering |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2306-5354/10/4/458/pdf?version=1681035667 |
| 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 | Bioengineering |
| primary_location.landing_page_url | https://doi.org/10.3390/bioengineering10040458 |
| publication_date | 2023-04-09 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2014373891, https://openalex.org/W2117121789, https://openalex.org/W6716408721, https://openalex.org/W6689958963, https://openalex.org/W2025792962, https://openalex.org/W1968265406, https://openalex.org/W1984915052, https://openalex.org/W6747816484, https://openalex.org/W2471984990, https://openalex.org/W1992143859, https://openalex.org/W4293238186, https://openalex.org/W2007363524, https://openalex.org/W2552219167, https://openalex.org/W2087533913, https://openalex.org/W3128653999, https://openalex.org/W3130679116, https://openalex.org/W2965191493, https://openalex.org/W3144895032, https://openalex.org/W3130894550, https://openalex.org/W4307236553, https://openalex.org/W2966312603, https://openalex.org/W2772723798, https://openalex.org/W2960879592, https://openalex.org/W4316927806, https://openalex.org/W4306392323, https://openalex.org/W2964879006, https://openalex.org/W3096161501, https://openalex.org/W3007647093, https://openalex.org/W2235120837, https://openalex.org/W4283026748, https://openalex.org/W4312183907, https://openalex.org/W2948117846, https://openalex.org/W3156947925, https://openalex.org/W3211658667, https://openalex.org/W2947607756, https://openalex.org/W4308292299, https://openalex.org/W3178749987, https://openalex.org/W2417430892, https://openalex.org/W3005090064, https://openalex.org/W2621007086, https://openalex.org/W2963202012, https://openalex.org/W3014595077, https://openalex.org/W3036485623, https://openalex.org/W6776264857, https://openalex.org/W3172600169, https://openalex.org/W4387811203, https://openalex.org/W2165189956, https://openalex.org/W2103190706, https://openalex.org/W2935090763, https://openalex.org/W2560688864, https://openalex.org/W3003751458, https://openalex.org/W2323929895, https://openalex.org/W2284198383, https://openalex.org/W3157703598, https://openalex.org/W1996146362, https://openalex.org/W3124692866, https://openalex.org/W2752674494, https://openalex.org/W3016012157, https://openalex.org/W2731899572, https://openalex.org/W2533800772, https://openalex.org/W3023402713, https://openalex.org/W3017644243, https://openalex.org/W3048123412, https://openalex.org/W3212807205, https://openalex.org/W4362657610, https://openalex.org/W3014962938, https://openalex.org/W2783465151, https://openalex.org/W4385900245 |
| referenced_works_count | 68 |
| abstract_inverted_index.a | 6, 84 |
| abstract_inverted_index.DL | 63, 189 |
| abstract_inverted_index.F1 | 166 |
| abstract_inverted_index.In | 186 |
| abstract_inverted_index.We | 82, 110 |
| abstract_inverted_index.an | 193, 211 |
| abstract_inverted_index.be | 36 |
| abstract_inverted_index.by | 105 |
| abstract_inverted_index.in | 41, 65, 77, 99 |
| abstract_inverted_index.is | 5, 10, 26 |
| abstract_inverted_index.no | 70 |
| abstract_inverted_index.of | 24, 97, 102, 118, 136, 214 |
| abstract_inverted_index.to | 14, 16, 38, 57, 73, 93, 114, 131, 182, 221 |
| abstract_inverted_index.(1) | 0 |
| abstract_inverted_index.(2) | 80 |
| abstract_inverted_index.(3) | 121 |
| abstract_inverted_index.(4) | 184 |
| abstract_inverted_index.95% | 177 |
| abstract_inverted_index.Hip | 2 |
| abstract_inverted_index.RWD | 113, 124, 209 |
| abstract_inverted_index.THR | 25, 78, 98 |
| abstract_inverted_index.The | 21, 50, 123, 133, 152, 170 |
| abstract_inverted_index.and | 44, 62, 147, 164, 195, 202, 217, 224 |
| abstract_inverted_index.but | 67 |
| abstract_inverted_index.can | 35, 191 |
| abstract_inverted_index.for | 28, 48, 198, 206 |
| abstract_inverted_index.hip | 18, 87, 103, 200 |
| abstract_inverted_index.its | 75, 219 |
| abstract_inverted_index.the | 11, 46, 59, 95, 116, 137, 148, 158, 165, 204, 215 |
| abstract_inverted_index.was | 69, 139, 142, 145, 150, 156, 162, 168, 174 |
| abstract_inverted_index.(DL) | 33 |
| abstract_inverted_index.2018 | 130 |
| abstract_inverted_index.3766 | 127 |
| abstract_inverted_index.Deep | 31 |
| abstract_inverted_index.PXRs | 128 |
| abstract_inverted_index.THR. | 49, 208 |
| abstract_inverted_index.also | 111 |
| abstract_inverted_index.area | 171 |
| abstract_inverted_index.data | 53 |
| abstract_inverted_index.deep | 90 |
| abstract_inverted_index.from | 129, 180 |
| abstract_inverted_index.lead | 15 |
| abstract_inverted_index.main | 12 |
| abstract_inverted_index.need | 47, 205 |
| abstract_inverted_index.rate | 161 |
| abstract_inverted_index.real | 51 |
| abstract_inverted_index.save | 222 |
| abstract_inverted_index.this | 119, 188 |
| abstract_inverted_index.time | 223 |
| abstract_inverted_index.used | 37, 56 |
| abstract_inverted_index.were | 55 |
| abstract_inverted_index.with | 176 |
| abstract_inverted_index.(RWD) | 54 |
| abstract_inverted_index.0.953 | 181 |
| abstract_inverted_index.0.972 | 175 |
| abstract_inverted_index.1.000 | 146 |
| abstract_inverted_index.2019. | 132 |
| abstract_inverted_index.cost. | 225 |
| abstract_inverted_index.curve | 173 |
| abstract_inverted_index.false | 159 |
| abstract_inverted_index.plain | 106 |
| abstract_inverted_index.prove | 74 |
| abstract_inverted_index.score | 167 |
| abstract_inverted_index.study | 72 |
| abstract_inverted_index.there | 68 |
| abstract_inverted_index.three | 100 |
| abstract_inverted_index.total | 17 |
| abstract_inverted_index.under | 172 |
| abstract_inverted_index.value | 155 |
| abstract_inverted_index.world | 52 |
| abstract_inverted_index.(PXR). | 109 |
| abstract_inverted_index.(THR). | 20 |
| abstract_inverted_index.0.987. | 183 |
| abstract_inverted_index.1.000. | 151 |
| abstract_inverted_index.causes | 13 |
| abstract_inverted_index.common | 7 |
| abstract_inverted_index.detect | 39 |
| abstract_inverted_index.images | 43 |
| abstract_inverted_index.joints | 104 |
| abstract_inverted_index.method | 197 |
| abstract_inverted_index.months | 101 |
| abstract_inverted_index.pelvic | 107 |
| abstract_inverted_index.timing | 23 |
| abstract_inverted_index.0.0550, | 163 |
| abstract_inverted_index.0.9009, | 157 |
| abstract_inverted_index.0.9450; | 143 |
| abstract_inverted_index.0.9633; | 140 |
| abstract_inverted_index.0.9717. | 169 |
| abstract_inverted_index.crucial | 27 |
| abstract_inverted_index.disease | 9 |
| abstract_inverted_index.further | 207 |
| abstract_inverted_index.medical | 42 |
| abstract_inverted_index.offered | 210 |
| abstract_inverted_index.overall | 134 |
| abstract_inverted_index.predict | 45 |
| abstract_inverted_index.provide | 192 |
| abstract_inverted_index.support | 213 |
| abstract_inverted_index.totally | 125 |
| abstract_inverted_index.Methods: | 81 |
| abstract_inverted_index.Results: | 122 |
| abstract_inverted_index.accuracy | 135 |
| abstract_inverted_index.accurate | 194 |
| abstract_inverted_index.designed | 83 |
| abstract_inverted_index.disorder | 4 |
| abstract_inverted_index.function | 76, 220 |
| abstract_inverted_index.identify | 94 |
| abstract_inverted_index.included | 126 |
| abstract_inverted_index.interval | 179 |
| abstract_inverted_index.learning | 32, 91 |
| abstract_inverted_index.medicine | 66 |
| abstract_inverted_index.negative | 153, 160 |
| abstract_inverted_index.previous | 71 |
| abstract_inverted_index.reliable | 196 |
| abstract_inverted_index.summary, | 187 |
| abstract_inverted_index.surgical | 22 |
| abstract_inverted_index.validate | 58, 115 |
| abstract_inverted_index.algorithm | 64, 92, 138, 190, 216 |
| abstract_inverted_index.anomalies | 40 |
| abstract_inverted_index.collected | 112 |
| abstract_inverted_index.detecting | 199 |
| abstract_inverted_index.geriatric | 8 |
| abstract_inverted_index.precision | 149 |
| abstract_inverted_index.recovery. | 30 |
| abstract_inverted_index.two-stage | 86 |
| abstract_inverted_index.validated | 218 |
| abstract_inverted_index.algorithm. | 120 |
| abstract_inverted_index.algorithms | 34 |
| abstract_inverted_index.artificial | 60 |
| abstract_inverted_index.confidence | 178 |
| abstract_inverted_index.predicting | 203 |
| abstract_inverted_index.prediction | 89 |
| abstract_inverted_index.predictive | 154 |
| abstract_inverted_index.sequential | 85 |
| abstract_inverted_index.Background: | 1 |
| abstract_inverted_index.alternative | 212 |
| abstract_inverted_index.performance | 117 |
| abstract_inverted_index.possibility | 96 |
| abstract_inverted_index.prediction. | 79 |
| abstract_inverted_index.radiography | 108 |
| abstract_inverted_index.replacement | 19, 88 |
| abstract_inverted_index.sensitivity | 141 |
| abstract_inverted_index.specificity | 144 |
| abstract_inverted_index.Conclusions: | 185 |
| abstract_inverted_index.degeneration | 201 |
| abstract_inverted_index.degenerative | 3 |
| abstract_inverted_index.intelligence | 61 |
| abstract_inverted_index.post-operative | 29 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5087399963 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I173093425, https://openalex.org/I4210116208 |
| citation_normalized_percentile.value | 0.80114747 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |