{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T16:13:28Z","timestamp":1788970408854,"version":"build-2803163510"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008021","name":"Bristol Myers Squibb","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008021","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Hypertrophic cardiomyopathy (HCM) remains underdiagnosed due to limited access to expert imaging. We developed and validated a deep-learning (DL)-based echocardiographic model adaptable to point-of-care ultrasound (POCUS) for scalable HCM screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>We retrospectively analysed 134 956 expert transthoracic echocardiograms (TTE) from 73 598 patients at Sheba Medical Center (2007\u20132022). A TTE-trained DL model integrating structural features and temporal motion patterns from parasternal long-axis and apical four-chamber views estimated HCM probability. Performance was evaluated in an independent test cohort and clinical subgroups. External validation used bedside POCUS studies from non-cardiologists with handheld devices. The test cohort included 12 096 patients with 119 confirmed HCM cases (prevalence 0.98%; median age 75 years, 57% male). HCM-positive patients showed increased expert TTE-measured septal (1.67 [1.5, 2.0] vs. 1.01 [0.9, 1.19] cm) and posterior wall thickness (1.1 [1.0, 1.3] vs. 0.9 [0.8, 1.0] cm) (P &amp;lt; 0.001). The model achieved excellent discrimination with an area under the curve of 0.982 (95% CI 0.966\u20130.993), sensitivity 88.2%, and specificity 97.3%, robust across subgroups. The POCUS cohort (n = 1047, median age 73 years, 55% male) represented multimorbid inpatients with 65 (6.2%) classified as screen-positive by the algorithm. These showed higher expert TTE-measured septal thickness (1.26 [1.07, 1.46] vs. 1.06 [0.9, 1.2] cm; 22% vs. 4% with IVS \u22651.5\u2005cm; P \u2264 0.01). Among 49 (75%) POCUS-flagged positive patients with formal TTE and clinical data, 8 (16%) were confirmed by expert adjudication to have HCM. Specificity is limited by occasional confounding amyloidosis detection (4% of POCUS-flagged patients).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This DL-based model identifies HCM and demonstrates feasibility for POCUS screening, supporting earlier detection and broader diagnostic access.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ehjdh\/ztag140","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T11:09:31Z","timestamp":1788520171000},"source":"Crossref","is-referenced-by-count":0,"title":["Point-of-care echocardiography screening for hypertrophic cardiomyopathy using automated deep-learning analysis"],"prefix":"10.1093","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4151-7342","authenticated-orcid":false,"given":"Nour","family":"Karra","sequence":"first","affiliation":[{"name":"Leviev Heart and Vascular Center, Chaim Sheba Medical Center , Derech Sheba 2, Tel Hashomer, 52621 Ramat Gan ,","place":["Israel"]},{"name":"The Gray Faculty of Medical & Health Sciences, Tel Aviv University , Ramat Aviv, 69978 Tel Aviv ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7722-5820","authenticated-orcid":false,"given":"Yarin","family":"Klempfner","sequence":"additional","affiliation":[{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6235-4031","authenticated-orcid":false,"given":"Viana","family":"Copeland","sequence":"additional","affiliation":[{"name":"Leviev Heart and Vascular Center, Chaim Sheba Medical Center , Derech Sheba 2, Tel Hashomer, 52621 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Fiman","sequence":"additional","affiliation":[{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9177-8371","authenticated-orcid":false,"given":"Harel","family":"Doitch","sequence":"additional","affiliation":[{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roei","family":"Merin","sequence":"additional","affiliation":[{"name":"The Gray Faculty of Medical & Health Sciences, Tel Aviv University , Ramat Aviv, 69978 Tel Aviv ,","place":["Israel"]},{"name":"Sourasky Medical Center Tel Aviv , Affiliated to the Gray Faculty of Medical & Health Sciences, Tel Aviv University ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Klempfner","sequence":"additional","affiliation":[{"name":"Leviev Heart and Vascular Center, Chaim Sheba Medical Center , Derech Sheba 2, Tel Hashomer, 52621 Ramat Gan ,","place":["Israel"]},{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ehud","family":"Schwammenthal","sequence":"additional","affiliation":[{"name":"The Gray Faculty of Medical & Health Sciences, Tel Aviv University , Ramat Aviv, 69978 Tel Aviv ,","place":["Israel"]},{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Arad","sequence":"additional","affiliation":[{"name":"Leviev Heart and Vascular Center, Chaim Sheba Medical Center , Derech Sheba 2, Tel Hashomer, 52621 Ramat Gan ,","place":["Israel"]},{"name":"The Gray Faculty of Medical & Health Sciences, Tel Aviv University , Ramat Aviv, 69978 Tel Aviv ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5087-0464","authenticated-orcid":false,"given":"Elad","family":"Maor","sequence":"additional","affiliation":[{"name":"Leviev Heart and Vascular Center, Chaim Sheba Medical Center , Derech Sheba 2, Tel Hashomer, 52621 Ramat Gan ,","place":["Israel"]},{"name":"The Gray Faculty of Medical & Health Sciences, Tel Aviv University , Ramat Aviv, 69978 Tel Aviv ,","place":["Israel"]},{"name":"AISAP.ai, Derech Sheba 2, 5266202 Ramat Gan ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"key":"2026090911070689200_ztag140-B1","doi-asserted-by":"crossref","first-page":"3503","DOI":"10.1093\/eurheartj\/ehad194","article-title":"2023 ESC Guidelines for the management of cardiomyopathies. 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