{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T01:28:00Z","timestamp":1794360480242,"version":"4.9.0"},"reference-count":22,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["ajconline.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The American Journal of Cardiology"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.amjcard.2026.09.020","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T23:41:02Z","timestamp":1790811662000},"page":"19-24","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Feasibility of Functionally Standardized AI-Assisted Coronary CT Angiography Training for Radiology Residents: A Multicenter Randomized Pilot Study"],"prefix":"10.1016","volume":"280","author":[{"given":"Qi","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lirong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caixia","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feihua","family":"Jing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongqin","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.amjcard.2026.09.020_bib0001","doi-asserted-by":"crossref","first-page":"e41","DOI":"10.1161\/CIR.0000000000001303","article-title":"2025 Heart disease and stroke statistics: a report of US and global data from the American heart association","volume":"151","author":"Martin","year":"2025","journal-title":"Circulation"},{"issue":"36","key":"10.1016\/j.amjcard.2026.09.020_bib0002","doi-asserted-by":"crossref","first-page":"3415","DOI":"10.1093\/eurheartj\/ehae177","article-title":"2024 ESC Guidelines for the management of chronic coronary syndromes","volume":"45","author":"Vrints","year":"2024","journal-title":"Eur Heart J"},{"issue":"11","key":"10.1016\/j.amjcard.2026.09.020_bib0003","doi-asserted-by":"crossref","first-page":"1974","DOI":"10.1016\/j.jcmg.2022.07.002","volume":"15","author":"Cury","year":"2022","journal-title":"JACC Cardiov Imag"},{"issue":"9","key":"10.1016\/j.amjcard.2026.09.020_bib0004","doi-asserted-by":"crossref","first-page":"5666","DOI":"10.1007\/s00330-024-10644-4","article-title":"Competence of radiologists in cardiac CT and MR imaging in Europe: insights from the ESCR Registry","volume":"34","author":"Catapano","year":"2024","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.amjcard.2026.09.020_bib0005","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1177\/02841851221089263","article-title":"The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience","volume":"64","author":"Han","year":"2023","journal-title":"Acta Radiol"},{"issue":"2","key":"10.1016\/j.amjcard.2026.09.020_bib0006","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.242087","article-title":"Diagnostic accuracy of on-premise automated coronary CT angiography analysis based on Coronary Artery Disease Reporting and Data System 2.0","volume":"315","author":"Kay","year":"2025","journal-title":"Radiology"},{"key":"10.1016\/j.amjcard.2026.09.020_bib0007","doi-asserted-by":"crossref","unstructured":"Andre F, Fortner P, Aurich M, Seitz S, Jatsch AK, Sch\u00f6binger M, Wels M, Kraus M, G\u00fcls\u00fcn MA, Frey N, Sommer A, G\u00f6rich J, Buss SJ. Human AI Teaming for Coronary CT Angiography Assessment: Impact on Imaging Workflow and Diagnostic Accuracy. Diagnostics (Basel) 2023;13(23):3574. https:\/\/doi.org\/10.3390\/diagnostics13233574.","DOI":"10.3390\/diagnostics13233574"},{"key":"10.1016\/j.amjcard.2026.09.020_bib0008","doi-asserted-by":"crossref","first-page":"106223","DOI":"10.1016\/j.ijmedinf.2025.106223","article-title":"Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making","volume":"207","author":"K\u00fccking","year":"2026","journal-title":"Int J Med Inform"},{"issue":"23","key":"10.1016\/j.amjcard.2026.09.020_bib0009","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.1001\/jama.2023.22557","article-title":"Automation bias and assistive AI: risk of harm from AI-driven clinical decision support","volume":"330","author":"Khera","year":"2023","journal-title":"Jama"},{"key":"10.1016\/j.amjcard.2026.09.020_bib0010","doi-asserted-by":"crossref","unstructured":"Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, Lancaster GA. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Bmj 2016;355:i5239. https:\/\/doi.org\/10.1136\/bmj.i5239.","DOI":"10.1136\/bmj.i5239"},{"issue":"5","key":"10.1016\/j.amjcard.2026.09.020_bib0011","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.jcct.2022.03.002","article-title":"Prospective evaluation of the learning curve and diagnostic accuracy for Pre-TAVI cardiac computed tomography analysis by cardiologists in training: the LEARN-CT study","volume":"16","author":"Paolisso","year":"2022","journal-title":"J Cardiovasc Comput Tomogr"},{"issue":"3","key":"10.1016\/j.amjcard.2026.09.020_bib0012","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jcct.2023.03.006","volume":"17","author":"Madan","year":"2023","journal-title":"J Cardiovasc Comput Tomogr"},{"issue":"5","key":"10.1016\/j.amjcard.2026.09.020_bib0013","doi-asserted-by":"crossref","first-page":"e367","DOI":"10.1016\/S2589-7500(24)00047-5","article-title":"Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review","volume":"6","author":"Han","year":"2024","journal-title":"Lancet Digit Health"},{"issue":"1","key":"10.1016\/j.amjcard.2026.09.020_bib0014","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1186\/s12880-022-00756-y","article-title":"Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience","volume":"22","author":"Han","year":"2022","journal-title":"BMC Med Imaging"},{"issue":"1","key":"10.1016\/j.amjcard.2026.09.020_bib0015","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1038\/s41746-024-01248-9","article-title":"Effects of artificial intelligence implementation on efficiency in medical imaging-a systematic literature review and meta-analysis","volume":"7","author":"Wenderott","year":"2024","journal-title":"NPJ Digit Med"},{"issue":"4","key":"10.1016\/j.amjcard.2026.09.020_bib0016","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.222176","article-title":"Automation bias in mammography: the impact of artificial intelligence BI-RADS suggestions on reader performance","volume":"307","author":"Dratsch","year":"2023","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.amjcard.2026.09.020_bib0017","doi-asserted-by":"crossref","first-page":"100049","DOI":"10.1016\/j.patter.2020.100049","article-title":"Rapid trust calibration through interpretable and uncertainty-aware AI","volume":"1","author":"Tomsett","year":"2020","journal-title":"Patterns (N Y)"},{"issue":"2","key":"10.1016\/j.amjcard.2026.09.020_bib0018","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2020200029","article-title":"Checklist for artificial intelligence in medical imaging (CLAIM): a guide for authors and reviewers","volume":"2","author":"Mongan","year":"2020","journal-title":"Radiol Artif Intell"},{"key":"10.1016\/j.amjcard.2026.09.020_bib0019","article-title":"Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence","volume":"377","author":"Vasey","year":"2022","journal-title":"DECIDE-AI. Bmj"},{"issue":"1","key":"10.1016\/j.amjcard.2026.09.020_bib0020","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1038\/s41746-021-00385-9","article-title":"Do as AI say: susceptibility in deployment of clinical decision-aids","volume":"4","author":"Gaube","year":"2021","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.amjcard.2026.09.020_bib0021","doi-asserted-by":"crossref","first-page":"3786","DOI":"10.1007\/s00330-020-07684-x","article-title":"To buy or not to buy\u2014evaluating commercial AI solutions in radiology (the ECLAIR guidelines)","volume":"31","author":"Omoumi","year":"2021","journal-title":"European Radiology"},{"issue":"6","key":"10.1016\/j.amjcard.2026.09.020_bib0022","doi-asserted-by":"crossref","first-page":"3797","DOI":"10.1007\/s00330-021-07892-z","article-title":"Artificial intelligence in radiology: 100 commercially available products and their scientific evidence","volume":"31","author":"van Leeuwen","year":"2021","journal-title":"Eur Radiol"}],"container-title":["The American Journal of Cardiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002914926005941?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0002914926005941?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T01:12:36Z","timestamp":1794359556000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0002914926005941"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":22,"alternative-id":["S0002914926005941"],"URL":"https:\/\/doi.org\/10.1016\/j.amjcard.2026.09.020","relation":{},"ISSN":["0002-9149"],"issn-type":[{"value":"0002-9149","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Feasibility of Functionally Standardized AI-Assisted Coronary CT Angiography Training for Radiology Residents: A Multicenter Randomized Pilot Study","name":"articletitle","label":"Article Title"},{"value":"The American Journal of Cardiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.amjcard.2026.09.020","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}