Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study Article Swipe
Evangelos K. Oikonomou
,
Akhil Vaid
,
Gregory Holste
,
Andreas Coppi
,
Robert L. McNamara
,
Cristiana Baloescu
,
Harlan M. Krumholz
,
Zhangyang Wang
,
Donald J. Apakama
,
Girish N. Nadkarni
,
Rohan Khera
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/s2589-7500(24)00249-8
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/s2589-7500(24)00249-8
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/s2589-7500(24)00249-8
- OA Status
- gold
- Cited By
- 23
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406939517
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406939517Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/s2589-7500(24)00249-8Digital Object Identifier
- Title
-
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-29Full publication date if available
- Authors
-
Evangelos K. Oikonomou, Akhil Vaid, Gregory Holste, Andreas Coppi, Robert L. McNamara, Cristiana Baloescu, Harlan M. Krumholz, Zhangyang Wang, Donald J. Apakama, Girish N. Nadkarni, Rohan KheraList of authors in order
- Landing page
-
https://doi.org/10.1016/s2589-7500(24)00249-8Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/s2589-7500(24)00249-8Direct OA link when available
- Concepts
-
Ultrasonography, Medicine, Cardiology, Point of care, Point-of-care testing, Intensive care medicine, Internal medicine, Radiology, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 21, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406939517 |
|---|---|
| doi | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| ids.doi | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39890242 |
| ids.openalex | https://openalex.org/W4406939517 |
| fwci | 97.31329124 |
| 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 | |
| mesh[2].descriptor_ui | D008297 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Male |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D005260 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Female |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D008875 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Middle Aged |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D019095 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Point-of-Care Systems |
| mesh[6].qualifier_ui | Q000000981 |
| mesh[6].descriptor_ui | D009202 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | diagnostic imaging |
| mesh[6].descriptor_name | Cardiomyopathies |
| mesh[7].qualifier_ui | Q000379 |
| mesh[7].descriptor_ui | D004452 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | methods |
| mesh[7].descriptor_name | Echocardiography |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D012189 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Retrospective Studies |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D000368 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Aged |
| mesh[10].qualifier_ui | Q000000981 |
| mesh[10].descriptor_ui | D002312 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | diagnostic imaging |
| mesh[10].descriptor_name | Cardiomyopathy, Hypertrophic |
| mesh[11].qualifier_ui | Q000000981 |
| mesh[11].descriptor_ui | D028227 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | diagnostic imaging |
| mesh[11].descriptor_name | Amyloid Neuropathies, Familial |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D016571 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Neural Networks, Computer |
| 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 | D005260 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Female |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D008297 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Male |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D019095 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Point-of-Care Systems |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D000368 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Aged |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D008875 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Middle Aged |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D001185 |
| mesh[19].is_major_topic | True |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Artificial Intelligence |
| mesh[20].qualifier_ui | Q000000981 |
| mesh[20].descriptor_ui | D009202 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | diagnostic imaging |
| mesh[20].descriptor_name | Cardiomyopathies |
| mesh[21].qualifier_ui | Q000175 |
| mesh[21].descriptor_ui | D009202 |
| mesh[21].is_major_topic | True |
| mesh[21].qualifier_name | diagnosis |
| mesh[21].descriptor_name | Cardiomyopathies |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D012189 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Retrospective Studies |
| mesh[23].qualifier_ui | Q000379 |
| mesh[23].descriptor_ui | D004452 |
| mesh[23].is_major_topic | True |
| mesh[23].qualifier_name | methods |
| mesh[23].descriptor_name | Echocardiography |
| mesh[24].qualifier_ui | Q000000981 |
| mesh[24].descriptor_ui | D002312 |
| mesh[24].is_major_topic | True |
| mesh[24].qualifier_name | diagnostic imaging |
| mesh[24].descriptor_name | Cardiomyopathy, Hypertrophic |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D016571 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Neural Networks, Computer |
| mesh[26].qualifier_ui | Q000379 |
| mesh[26].descriptor_ui | D014463 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | methods |
| mesh[26].descriptor_name | Ultrasonography |
| mesh[27].qualifier_ui | Q000000981 |
| mesh[27].descriptor_ui | D028227 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | diagnostic imaging |
| mesh[27].descriptor_name | Amyloid Neuropathies, Familial |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D006801 |
| mesh[28].is_major_topic | False |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Humans |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D005260 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Female |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D008297 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Male |
| mesh[31].qualifier_ui | |
| mesh[31].descriptor_ui | D019095 |
| mesh[31].is_major_topic | True |
| mesh[31].qualifier_name | |
| mesh[31].descriptor_name | Point-of-Care Systems |
| mesh[32].qualifier_ui | |
| mesh[32].descriptor_ui | D000368 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | |
| mesh[32].descriptor_name | Aged |
| mesh[33].qualifier_ui | |
| mesh[33].descriptor_ui | D008875 |
| mesh[33].is_major_topic | False |
| mesh[33].qualifier_name | |
| mesh[33].descriptor_name | Middle Aged |
| mesh[34].qualifier_ui | |
| mesh[34].descriptor_ui | D001185 |
| mesh[34].is_major_topic | True |
| mesh[34].qualifier_name | |
| mesh[34].descriptor_name | Artificial Intelligence |
| mesh[35].qualifier_ui | Q000000981 |
| mesh[35].descriptor_ui | D009202 |
| mesh[35].is_major_topic | True |
| mesh[35].qualifier_name | diagnostic imaging |
| mesh[35].descriptor_name | Cardiomyopathies |
| mesh[36].qualifier_ui | Q000175 |
| mesh[36].descriptor_ui | D009202 |
| mesh[36].is_major_topic | True |
| mesh[36].qualifier_name | diagnosis |
| mesh[36].descriptor_name | Cardiomyopathies |
| mesh[37].qualifier_ui | |
| mesh[37].descriptor_ui | D012189 |
| mesh[37].is_major_topic | False |
| mesh[37].qualifier_name | |
| mesh[37].descriptor_name | Retrospective Studies |
| mesh[38].qualifier_ui | Q000379 |
| mesh[38].descriptor_ui | D004452 |
| mesh[38].is_major_topic | True |
| mesh[38].qualifier_name | methods |
| mesh[38].descriptor_name | Echocardiography |
| mesh[39].qualifier_ui | Q000000981 |
| mesh[39].descriptor_ui | D002312 |
| mesh[39].is_major_topic | True |
| mesh[39].qualifier_name | diagnostic imaging |
| mesh[39].descriptor_name | Cardiomyopathy, Hypertrophic |
| mesh[40].qualifier_ui | |
| mesh[40].descriptor_ui | D016571 |
| mesh[40].is_major_topic | False |
| mesh[40].qualifier_name | |
| mesh[40].descriptor_name | Neural Networks, Computer |
| mesh[41].qualifier_ui | Q000379 |
| mesh[41].descriptor_ui | D014463 |
| mesh[41].is_major_topic | False |
| mesh[41].qualifier_name | methods |
| mesh[41].descriptor_name | Ultrasonography |
| mesh[42].qualifier_ui | Q000000981 |
| mesh[42].descriptor_ui | D028227 |
| mesh[42].is_major_topic | False |
| mesh[42].qualifier_name | diagnostic imaging |
| mesh[42].descriptor_name | Amyloid Neuropathies, Familial |
| mesh[43].qualifier_ui | |
| mesh[43].descriptor_ui | D006801 |
| mesh[43].is_major_topic | False |
| mesh[43].qualifier_name | |
| mesh[43].descriptor_name | Humans |
| mesh[44].qualifier_ui | |
| mesh[44].descriptor_ui | D005260 |
| mesh[44].is_major_topic | False |
| mesh[44].qualifier_name | |
| mesh[44].descriptor_name | Female |
| mesh[45].qualifier_ui | |
| mesh[45].descriptor_ui | D008297 |
| mesh[45].is_major_topic | False |
| mesh[45].qualifier_name | |
| mesh[45].descriptor_name | Male |
| mesh[46].qualifier_ui | |
| mesh[46].descriptor_ui | D019095 |
| mesh[46].is_major_topic | True |
| mesh[46].qualifier_name | |
| mesh[46].descriptor_name | Point-of-Care Systems |
| mesh[47].qualifier_ui | |
| mesh[47].descriptor_ui | D000368 |
| mesh[47].is_major_topic | False |
| mesh[47].qualifier_name | |
| mesh[47].descriptor_name | Aged |
| mesh[48].qualifier_ui | |
| mesh[48].descriptor_ui | D008875 |
| mesh[48].is_major_topic | False |
| mesh[48].qualifier_name | |
| mesh[48].descriptor_name | Middle Aged |
| mesh[49].qualifier_ui | |
| mesh[49].descriptor_ui | D001185 |
| mesh[49].is_major_topic | True |
| mesh[49].qualifier_name | |
| mesh[49].descriptor_name | Artificial Intelligence |
| type | article |
| title | Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study |
| biblio.issue | 2 |
| biblio.volume | 7 |
| biblio.last_page | e123 |
| biblio.first_page | e113 |
| grants[0].funder | https://openalex.org/F4320306134 |
| grants[0].award_id | |
| grants[0].funder_display_name | Doris Duke Charitable Foundation |
| grants[1].funder | https://openalex.org/F4320337337 |
| grants[1].award_id | |
| grants[1].funder_display_name | National Institute on Aging |
| grants[2].funder | https://openalex.org/F4320337338 |
| grants[2].award_id | |
| grants[2].funder_display_name | National Heart, Lung, and Blood Institute |
| topics[0].id | https://openalex.org/T10372 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9991999864578247 |
| 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 | Cardiac Imaging and Diagnostics |
| topics[1].id | https://openalex.org/T12598 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9991999864578247 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2746 |
| topics[1].subfield.display_name | Surgery |
| topics[1].display_name | Cardiac Structural Anomalies and Repair |
| topics[2].id | https://openalex.org/T10065 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9977999925613403 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2705 |
| topics[2].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[2].display_name | Atrial Fibrillation Management and Outcomes |
| funders[0].id | https://openalex.org/F4320306134 |
| funders[0].ror | https://ror.org/04n65rp89 |
| funders[0].display_name | Doris Duke Charitable Foundation |
| funders[1].id | https://openalex.org/F4320337337 |
| funders[1].ror | https://ror.org/049v75w11 |
| funders[1].display_name | National Institute on Aging |
| funders[2].id | https://openalex.org/F4320337338 |
| funders[2].ror | https://ror.org/012pb6c26 |
| funders[2].display_name | National Heart, Lung, and Blood Institute |
| is_xpac | False |
| apc_list.value | 5000 |
| apc_list.currency | USD |
| apc_list.value_usd | 5000 |
| apc_paid.value | 5000 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 5000 |
| concepts[0].id | https://openalex.org/C529618451 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6454001665115356 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q234904 |
| concepts[0].display_name | Ultrasonography |
| concepts[1].id | https://openalex.org/C71924100 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6237285137176514 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[1].display_name | Medicine |
| concepts[2].id | https://openalex.org/C164705383 |
| concepts[2].level | 1 |
| concepts[2].score | 0.43398919701576233 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q10379 |
| concepts[2].display_name | Cardiology |
| concepts[3].id | https://openalex.org/C51915194 |
| concepts[3].level | 2 |
| concepts[3].score | 0.43114277720451355 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q17075487 |
| concepts[3].display_name | Point of care |
| concepts[4].id | https://openalex.org/C64841741 |
| concepts[4].level | 2 |
| concepts[4].score | 0.42391538619995117 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q491983 |
| concepts[4].display_name | Point-of-care testing |
| concepts[5].id | https://openalex.org/C177713679 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4003555178642273 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q679690 |
| concepts[5].display_name | Intensive care medicine |
| concepts[6].id | https://openalex.org/C126322002 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4001886248588562 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[6].display_name | Internal medicine |
| concepts[7].id | https://openalex.org/C126838900 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3611651659011841 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q77604 |
| concepts[7].display_name | Radiology |
| concepts[8].id | https://openalex.org/C142724271 |
| concepts[8].level | 1 |
| concepts[8].score | 0.220363587141037 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[8].display_name | Pathology |
| keywords[0].id | https://openalex.org/keywords/ultrasonography |
| keywords[0].score | 0.6454001665115356 |
| keywords[0].display_name | Ultrasonography |
| keywords[1].id | https://openalex.org/keywords/medicine |
| keywords[1].score | 0.6237285137176514 |
| keywords[1].display_name | Medicine |
| keywords[2].id | https://openalex.org/keywords/cardiology |
| keywords[2].score | 0.43398919701576233 |
| keywords[2].display_name | Cardiology |
| keywords[3].id | https://openalex.org/keywords/point-of-care |
| keywords[3].score | 0.43114277720451355 |
| keywords[3].display_name | Point of care |
| keywords[4].id | https://openalex.org/keywords/point-of-care-testing |
| keywords[4].score | 0.42391538619995117 |
| keywords[4].display_name | Point-of-care testing |
| keywords[5].id | https://openalex.org/keywords/intensive-care-medicine |
| keywords[5].score | 0.4003555178642273 |
| keywords[5].display_name | Intensive care medicine |
| keywords[6].id | https://openalex.org/keywords/internal-medicine |
| keywords[6].score | 0.4001886248588562 |
| keywords[6].display_name | Internal medicine |
| keywords[7].id | https://openalex.org/keywords/radiology |
| keywords[7].score | 0.3611651659011841 |
| keywords[7].display_name | Radiology |
| keywords[8].id | https://openalex.org/keywords/pathology |
| keywords[8].score | 0.220363587141037 |
| keywords[8].display_name | Pathology |
| language | en |
| locations[0].id | doi:10.1016/s2589-7500(24)00249-8 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210237014 |
| locations[0].source.issn | 2589-7500 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2589-7500 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | The Lancet Digital Health |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | The Lancet Digital Health |
| locations[0].landing_page_url | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| locations[1].id | pmid:39890242 |
| 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 | The Lancet. Digital health |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39890242 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:12084816 |
| 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 | 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 | Lancet Digit Health |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12084816 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5107482011 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4362-0720 |
| authorships[0].author.display_name | Evangelos K. Oikonomou |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[0].affiliations[0].raw_affiliation_string | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA. |
| authorships[0].institutions[0].id | https://openalex.org/I32971472 |
| authorships[0].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Yale University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Evangelos K Oikonomou |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA. |
| authorships[1].author.id | https://openalex.org/A5042331995 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3343-744X |
| authorships[1].author.display_name | Akhil Vaid |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I98704320 |
| authorships[1].affiliations[0].raw_affiliation_string | The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[1].institutions[0].id | https://openalex.org/I98704320 |
| authorships[1].institutions[0].ror | https://ror.org/04a9tmd77 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I1320796813, https://openalex.org/I98704320 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Icahn School of Medicine at Mount Sinai |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Akhil Vaid |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[2].author.id | https://openalex.org/A5071860390 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5657-3081 |
| authorships[2].author.display_name | Gregory Holste |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I86519309 |
| authorships[2].affiliations[0].raw_affiliation_string | Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. |
| authorships[2].institutions[0].id | https://openalex.org/I86519309 |
| authorships[2].institutions[0].ror | https://ror.org/00hj54h04 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I86519309 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | The University of Texas at Austin |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Gregory Holste |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. |
| authorships[3].author.id | https://openalex.org/A5071585624 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5243-552X |
| authorships[3].author.display_name | Andreas Coppi |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1323778983 |
| authorships[3].affiliations[0].raw_affiliation_string | Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA. |
| authorships[3].institutions[0].id | https://openalex.org/I1323778983 |
| authorships[3].institutions[0].ror | https://ror.org/05tszed37 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I1323778983, https://openalex.org/I4210117499 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Yale New Haven Hospital |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Andreas Coppi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA. |
| authorships[4].author.id | https://openalex.org/A5038095535 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1364-7749 |
| authorships[4].author.display_name | Robert L. McNamara |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[4].affiliations[0].raw_affiliation_string | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. |
| authorships[4].institutions[0].id | https://openalex.org/I32971472 |
| authorships[4].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Yale University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Robert L McNamara |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. |
| authorships[5].author.id | https://openalex.org/A5046491261 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-7012-1260 |
| authorships[5].author.display_name | Cristiana Baloescu |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA. |
| authorships[5].institutions[0].id | https://openalex.org/I32971472 |
| authorships[5].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Yale University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Cristiana Baloescu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA. |
| authorships[6].author.id | https://openalex.org/A5088028306 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2046-127X |
| authorships[6].author.display_name | Harlan M. Krumholz |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I1323778983 |
| authorships[6].affiliations[0].raw_affiliation_string | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA. |
| authorships[6].institutions[0].id | https://openalex.org/I1323778983 |
| authorships[6].institutions[0].ror | https://ror.org/05tszed37 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I1323778983, https://openalex.org/I4210117499 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Yale New Haven Hospital |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Harlan M Krumholz |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA. |
| authorships[7].author.id | https://openalex.org/A5048522863 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-2050-5693 |
| authorships[7].author.display_name | Zhangyang Wang |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I86519309 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. |
| authorships[7].institutions[0].id | https://openalex.org/I86519309 |
| authorships[7].institutions[0].ror | https://ror.org/00hj54h04 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I86519309 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | The University of Texas at Austin |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Zhangyang Wang |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. |
| authorships[8].author.id | https://openalex.org/A5108909148 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Donald J. Apakama |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I98704320 |
| authorships[8].affiliations[0].raw_affiliation_string | Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[8].institutions[0].id | https://openalex.org/I98704320 |
| authorships[8].institutions[0].ror | https://ror.org/04a9tmd77 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I1320796813, https://openalex.org/I98704320 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | Icahn School of Medicine at Mount Sinai |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Donald J Apakama |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[9].author.id | https://openalex.org/A5047405500 |
| authorships[9].author.orcid | https://orcid.org/0000-0001-6319-4314 |
| authorships[9].author.display_name | Girish N. Nadkarni |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I98704320 |
| authorships[9].affiliations[0].raw_affiliation_string | The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[9].institutions[0].id | https://openalex.org/I98704320 |
| authorships[9].institutions[0].ror | https://ror.org/04a9tmd77 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I1320796813, https://openalex.org/I98704320 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | Icahn School of Medicine at Mount Sinai |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Girish N Nadkarni |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| authorships[10].author.id | https://openalex.org/A5017974764 |
| authorships[10].author.orcid | https://orcid.org/0000-0001-9467-6199 |
| authorships[10].author.display_name | Rohan Khera |
| authorships[10].countries | US |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I1323778983 |
| authorships[10].affiliations[0].raw_affiliation_string | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. Electronic address: [email protected]. |
| authorships[10].institutions[0].id | https://openalex.org/I1323778983 |
| authorships[10].institutions[0].ror | https://ror.org/05tszed37 |
| authorships[10].institutions[0].type | healthcare |
| authorships[10].institutions[0].lineage | https://openalex.org/I1323778983, https://openalex.org/I4210117499 |
| authorships[10].institutions[0].country_code | US |
| authorships[10].institutions[0].display_name | Yale New Haven Hospital |
| authorships[10].author_position | last |
| authorships[10].raw_author_name | Rohan Khera |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. Electronic address: [email protected]. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10372 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9991999864578247 |
| 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 | Cardiac Imaging and Diagnostics |
| related_works | https://openalex.org/W2046227952, https://openalex.org/W629065209, https://openalex.org/W3112749764, https://openalex.org/W2412038252, https://openalex.org/W4300108051, https://openalex.org/W2147014818, https://openalex.org/W2313603933, https://openalex.org/W3193417733, https://openalex.org/W4310068093, https://openalex.org/W1489103769 |
| cited_by_count | 23 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 21 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1016/s2589-7500(24)00249-8 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210237014 |
| best_oa_location.source.issn | 2589-7500 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2589-7500 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | The Lancet Digital Health |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | The Lancet Digital Health |
| best_oa_location.landing_page_url | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| primary_location.id | doi:10.1016/s2589-7500(24)00249-8 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210237014 |
| primary_location.source.issn | 2589-7500 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2589-7500 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | The Lancet Digital Health |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | The Lancet Digital Health |
| primary_location.landing_page_url | https://doi.org/10.1016/s2589-7500(24)00249-8 |
| publication_date | 2025-01-29 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2955216928, https://openalex.org/W4297265397, https://openalex.org/W3132346797, https://openalex.org/W4396750647, https://openalex.org/W4317761849, https://openalex.org/W4396871808, https://openalex.org/W3081778241, https://openalex.org/W6871766309, https://openalex.org/W4390690803, https://openalex.org/W2888036721, https://openalex.org/W4386152544, https://openalex.org/W3207728159, https://openalex.org/W2787819053, https://openalex.org/W2740843109, https://openalex.org/W3193293922, https://openalex.org/W2290839120, https://openalex.org/W2948364217, https://openalex.org/W3202448368, https://openalex.org/W3174416962, https://openalex.org/W4289525005, https://openalex.org/W3163032277, https://openalex.org/W4386090740, https://openalex.org/W4394009815, https://openalex.org/W4393073759, https://openalex.org/W6767353936, https://openalex.org/W4210820029, https://openalex.org/W3001354239, https://openalex.org/W4308059498, https://openalex.org/W2894839648, https://openalex.org/W2711420683, https://openalex.org/W2896287590, https://openalex.org/W6955071965, https://openalex.org/W6766263406, https://openalex.org/W4225709144, https://openalex.org/W2118056643, https://openalex.org/W1966714873, https://openalex.org/W6864959068, https://openalex.org/W4304083970, https://openalex.org/W4402058291, https://openalex.org/W2619947201, https://openalex.org/W4394908947, https://openalex.org/W3173177752, https://openalex.org/W2962858109 |
| referenced_works_count | 43 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.99935218 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |