{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T11:13:44Z","timestamp":1788606824074,"version":"build-2803163510"},"reference-count":16,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.acra.2026.08.095","type":"journal-article","created":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T11:10:13Z","timestamp":1788606613000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study"],"prefix":"10.1016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2006-9964","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6838-849X","authenticated-orcid":false,"given":"Gary","family":"Ge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1106","key":"10.1016\/j.acra.2026.08.095_bib1","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20190855","article-title":"Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century","volume":"93","author":"El Naqa","year":"2020","journal-title":"Br J Radiol"},{"issue":"4","key":"10.1016\/j.acra.2026.08.095_bib2","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.jacr.2023.08.030","article-title":"Projected growth in FDA-approved artificial intelligence products given venture capital funding","volume":"21","author":"McNabb","year":"2024","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.08.095_bib3","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s41747-018-0061-6","article-title":"Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine","volume":"2","author":"Pesapane","year":"2018","journal-title":"Eur Radiol Exp"},{"issue":"7","key":"10.1016\/j.acra.2026.08.095_bib4","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1016\/j.acra.2023.01.005","article-title":"Artificial intelligence\/machine learning education in radiology: multi-institutional survey of radiology residents in the United States","volume":"30","author":"Salastekar","year":"2023","journal-title":"Acad Radiol"},{"key":"10.1016\/j.acra.2026.08.095_bib5","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.clinimag.2021.09.018","article-title":"Impact of artificial intelligence on US medical students' choice of radiology","volume":"81","author":"Reeder","year":"2022","journal-title":"Clin Imaging"},{"issue":"4","key":"10.1016\/j.acra.2026.08.095_bib6","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.acra.2018.10.007","article-title":"Influence of artificial intelligence on Canadian medical students' preference for radiology specialty: a National Survey Study","volume":"26","author":"Gong","year":"2019","journal-title":"Acad Radiol"},{"issue":"6","key":"10.1016\/j.acra.2026.08.095_bib7","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.jacr.2023.02.031","article-title":"Systematic review of radiology residency artificial intelligence curricula: preparing future radiologists for the artificial intelligence era","volume":"20","author":"Garin","year":"2023","journal-title":"J Am Coll Radiol"},{"issue":"3","key":"10.1016\/j.acra.2026.08.095_bib8","doi-asserted-by":"crossref","first-page":"177","DOI":"10.3348\/kjr.2022.1023","article-title":"It is time to incorporate artificial intelligence in radiology residency programs","volume":"24","author":"Ng","year":"2023","journal-title":"Korean J Radiol"},{"issue":"3","key":"10.1016\/j.acra.2026.08.095_bib9","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1002\/j.2168-9830.2004.tb00809.x","article-title":"Does active learning work? a review of the research","volume":"93","author":"Prince","year":"2004","journal-title":"J Eng Educ"},{"key":"10.1016\/j.acra.2026.08.095_bib10","series-title":"Digital Image Processing. 4th ed","author":"Rafael Gonzalez","year":"2018"},{"issue":"1","key":"10.1016\/j.acra.2026.08.095_bib11","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s13244-023-01595-3","article-title":"A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist","volume":"15","author":"van Kooten","year":"2024","journal-title":"Insights Imaging"},{"issue":"8","key":"10.1016\/j.acra.2026.08.095_bib12","doi-asserted-by":"crossref","first-page":"6021","DOI":"10.1007\/s00330-020-07621-y","article-title":"Training opportunities of artificial intelligence (AI) in radiology: a systematic review","volume":"31","author":"Schuur","year":"2021","journal-title":"Eur Radiol"},{"key":"10.1016\/j.acra.2026.08.095_bib13","series-title":"Curriculum Development for Medical Education: A Six-Step Approach","author":"Patricia","year":"2016"},{"key":"10.1016\/j.acra.2026.08.095_bib14","series-title":"Experiential Learning: Experience as the Source of Learning and Development","author":"Kolb","year":"1984"},{"issue":"4","key":"10.1016\/j.acra.2026.08.095_bib15","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0959-4752(94)90003-5","article-title":"Cognitive load theory, learning difficulty, and instructional design","volume":"4","author":"Sweller","year":"1994","journal-title":"Learn Instr"},{"issue":"10","key":"10.1016\/j.acra.2026.08.095_bib16","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1001\/jama.300.10.1181","article-title":"Internet-based learning in the health professions: a meta-analysis","volume":"300","author":"Cook","year":"2008","journal-title":"Jama"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226007051?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226007051?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T11:10:15Z","timestamp":1788606615000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633226007051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":16,"alternative-id":["S1076633226007051"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2026.08.095","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2026.08.095","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Association of Academic Radiology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}