{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T15:54:01Z","timestamp":1791388441331,"version":"4.3.3"},"reference-count":90,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"vor","delay-in-days":20,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003793","name":"Swedish Heart-Lung Foundation","doi-asserted-by":"publisher","award":["20240797"],"award-info":[{"award-number":["20240797"]}],"id":[{"id":"10.13039\/501100003793","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swedish Society of Cardiology"},{"DOI":"10.13039\/100009647","name":"Ministry of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009647","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:p>Artificial intelligence (AI) is transforming cardiovascular medicine by extracting clinically relevant patterns from complex digital health data, extending beyond traditional statistical approaches. However, the translation of AI from proof-of-concept studies to routine cardiovascular care remains constrained by methodological, ethical, and regulatory challenges. Key barriers include data quality and representativeness, model generalizability, calibration and clinical utility, interpretability, and the risk of bias amplification. To address this gap, this review synthesizes current evidence on AI applications in cardiology, demystifies foundational machine learning concepts for a clinical audience, and outlines a practical framework for best practices in model development, evaluation, and responsible clinical deployment.<\/jats:p>","DOI":"10.1093\/ehjdh\/ztag153","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T11:54:00Z","timestamp":1790164440000},"source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence in cardiovascular medicine: a practical guide for clinicians and researchers"],"prefix":"10.1093","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4680-3058","authenticated-orcid":false,"given":"Christian","family":"Basile","sequence":"first","affiliation":[{"name":"Department of Clinical Science and Education, S\u00f6dersjukhuset, Karolinska Institutet , Stockholm ,","place":["Sweden"]},{"name":"ANMCO Research Center, Heart Care Foundation , Florence ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Villaschi","sequence":"additional","affiliation":[{"name":"Department of Clinical Science and Education, S\u00f6dersjukhuset, Karolinska Institutet , Stockholm ,","place":["Sweden"]},{"name":"Department of Biomedical Sciences, Humanitas University , Pieve Emanuele, Via Rita Levi Montalcini 4, Milan 20090 ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9398-0428","authenticated-orcid":false,"given":"Pasquale","family":"Ambrosino","sequence":"additional","affiliation":[{"name":"Istituti Clinici Scientifici Maugeri IRCCS, Scientific Directorate, Telese Terme Institute, Telese Terme ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario Enrico","family":"Canonico","sequence":"additional","affiliation":[{"name":"CPC Clinical Research , Aurora, CO ,","place":["USA"]},{"name":"Department of Medicine, University of Colorado , Aurora, CO ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Araz","family":"Rawshani","sequence":"additional","affiliation":[{"name":"Departments of Cardiology, Sahlgrenska University Hospital , Bl\u00e5 str\u00e5ket 3, SE-413 46 Gothenburg ,","place":["Sweden"]},{"name":"Department of Molecular and Clinical Medicine, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg , Bruna Str\u00e5ket 16, SE-413 45 Gothenburg ,","place":["Sweden"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8287-2448","authenticated-orcid":false,"given":"Emanuele","family":"Bobbio","sequence":"additional","affiliation":[{"name":"Departments of Cardiology, Sahlgrenska University Hospital , Bl\u00e5 str\u00e5ket 3, SE-413 46 Gothenburg ,","place":["Sweden"]},{"name":"Department of Molecular and Clinical Medicine, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg , Bruna Str\u00e5ket 16, SE-413 45 Gothenburg ,","place":["Sweden"]},{"name":"Inherited and Rare Cardiovascular Diseases, Department of Translational Medical Sciences, University of Campania \u2018Luigi Vanvitelli\u2019, Monaldi Hospital , Naples ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,9,24]]},"reference":[{"key":"2026100711214821400_ztag153-B1","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol","year":"2019","journal-title":"Nat Med"},{"key":"2026100711214821400_ztag153-B2","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1038\/s41591-018-0316-z","article-title":"A guide to deep learning in healthcare","volume":"25","author":"Esteva","year":"2019","journal-title":"Nat 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