{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T12:11:43Z","timestamp":1778069503486,"version":"3.51.4"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"Supplement_5","license":[{"start":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T00:00:00Z","timestamp":1773187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Chest pain remains one of the most common and challenging presentations in cardiovascular medicine. Clinical evaluation\u2014including structured history-taking, recognition of anginal equivalents, and focused physical examination\u2014continues to anchor early risk estimation. Artificial intelligence (AI) may augment cardiovascular specialist care through refined pre-test risk stratification by integrating clinical information, high-sensitivity troponin, electrocardiogram (ECG) data, and multimodal imaging. Deep-learning algorithms applied to ECGs identify subtle ischaemic patterns and support rule-out strategies with a high negative predictive value. Artificial intelligence-enhanced coronary computed tomography and cardiac magnetic resonance expand diagnostic capability by characterizing plaque, perfusion, and alternative non-ischaemic aetiologies. Multimodal models leveraging electronic health records produce dynamic risk estimates, while AI tools increasingly support identification of non-coronary but clinically relevant causes of chest pain. The clinical value of AI will ultimately depend on rigorous validation, thoughtful implementation, and clinician governance. When appropriately integrated, AI has the potential to improve consistency, equity, and accuracy in the assessment of chest pain.<\/jats:p>","DOI":"10.1093\/eurheartjsupp\/suag020","type":"journal-article","created":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T12:29:56Z","timestamp":1771763396000},"page":"v32-v37","source":"Crossref","is-referenced-by-count":0,"title":["A leap into the future: excluding the ischaemic origin of chest pain through artificial intelligence"],"prefix":"10.1093","volume":"28","author":[{"given":"Fabrizio","family":"Imola","sequence":"first","affiliation":[{"name":"Department of Cardiology, Santa Maria Goretti Hospital , Via Antonio Canova, 04100 Latina ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michela","family":"Cece","sequence":"additional","affiliation":[{"name":"Faculty of Pharmacy and Medicine, Sapienza University of Rome , Corso della Repubblica 74, 04100 Latina ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucia","family":"Fatima di Napoli","sequence":"additional","affiliation":[{"name":"Faculty of Pharmacy and Medicine, Sapienza University of Rome , Corso della Repubblica 74, 04100 Latina ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Domenico Mario","family":"Giamundo","sequence":"additional","affiliation":[{"name":"Faculty of Pharmacy and Medicine, Sapienza University of Rome , Corso della Repubblica 74, 04100 Latina ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Biondi-Zoccai","sequence":"additional","affiliation":[{"name":"Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome , Corso della Repubblica 74, 04100 Latina ,","place":["Italy"]},{"name":"Maria Cecilia Hospital, GVM Care & Research , Via Corriera 1, 48033 Cotignola ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2413-6693","authenticated-orcid":false,"given":"Francesco","family":"Versaci","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Santa Maria Goretti Hospital , Via Antonio Canova, 04100 Latina ,","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2026,3,11]]},"reference":[{"key":"2026050607115668600_suag020-B1","volume-title":"Malattie Cardiovascolari: Approccio Clinico e Scientifico","author":"Biondi Zoccai","year":"2021"},{"key":"2026050607115668600_suag020-B2","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1161\/CIRCULATIONAHA.116.021886","article-title":"State-of-the-art evaluation of emergency department patients presenting with potential acute coronary syndromes","volume":"134","author":"Hollander","year":"2016","journal-title":"Circulation"},{"key":"2026050607115668600_suag020-B3","first-page":"152","article-title":"Artificial intelligence in cardiology: general perspectives and focus on interventional cardiology","volume":"29","author":"Biondi-Zoccai","year":"2025","journal-title":"Anatol J Cardiol"},{"key":"2026050607115668600_suag020-B4","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1161\/CIRCULATIONAHA.119.041980","article-title":"Machine learning to predict the likelihood of acute myocardial infarction","volume":"140","author":"Than","year":"2019","journal-title":"Circulation"},{"key":"2026050607115668600_suag020-B5","doi-asserted-by":"crossref","first-page":"105753","DOI":"10.1016\/j.ijmedinf.2024.105753","article-title":"A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology","volume":"195","author":"Oke","year":"2025","journal-title":"Int J Med Inform"},{"key":"2026050607115668600_suag020-B6","doi-asserted-by":"crossref","first-page":"2655","DOI":"10.1007\/s00330-017-5223-z","article-title":"Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study","volume":"28","author":"Dey","year":"2018","journal-title":"Eur Radiol"},{"key":"2026050607115668600_suag020-B7","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1586\/17434440.3.4.427","article-title":"Cellular magnetic resonance imaging: current status and future prospects","volume":"3","author":"Arbab","year":"2006","journal-title":"Expert Rev Med Dev"},{"key":"2026050607115668600_suag020-B8","doi-asserted-by":"crossref","first-page":"241","DOI":"10.4103\/heartviews.heartviews_103_24","article-title":"Harnessing artificial intelligence in cardiology: advancements in diagnosis, treatment, and patient care","volume":"25","author":"Shuja","year":"2024","journal-title":"Heart Views"},{"key":"2026050607115668600_suag020-B9","doi-asserted-by":"crossref","first-page":"e240353","DOI":"10.1148\/ryct.240353","article-title":"Role of artificial intelligence in detecting and classifying aortic dissection: where are we? A systematic review and meta-analysis","volume":"7","author":"Asif","year":"2025","journal-title":"Radiol Cardiothorac Imaging"},{"key":"2026050607115668600_suag020-B10","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":"2026050607115668600_suag020-B11","volume-title":"ChatGPT for Medical Research","author":"Biondi-Zoccai","year":"2024"}],"container-title":["European Heart Journal Supplements"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/eurheartjsupp\/advance-article-pdf\/doi\/10.1093\/eurheartjsupp\/suag020\/67300110\/suag020.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/eurheartjsupp\/article-pdf\/28\/Supplement_5\/v32\/67300110\/suag020.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/eurheartjsupp\/article-pdf\/28\/Supplement_5\/v32\/67300110\/suag020.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T11:12:05Z","timestamp":1778065925000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/eurheartjsupp\/article\/28\/Supplement_5\/v32\/8514193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,11]]},"references-count":11,"journal-issue":{"issue":"Supplement_5","published-online":{"date-parts":[[2026,3,11]]},"published-print":{"date-parts":[[2026,5,6]]}},"URL":"https:\/\/doi.org\/10.1093\/eurheartjsupp\/suag020","relation":{},"ISSN":["1520-765X","1554-2815"],"issn-type":[{"value":"1520-765X","type":"print"},{"value":"1554-2815","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026,5]]},"published":{"date-parts":[[2026,3,11]]}}}