Integration of artificial intelligence competencies in postgraduate training aims to enhance clinical practice, suggesting improved assessment methods.
Internal Medicine JournalEarly View Letter to the Editor Embedding artificial intelligence competency in postgraduate training and assessment Isaac K. S. Ng, Isaac K. S. Ng orcid.org/0000-0002-1843-5948 Division of Rheumatology, Department of Medicine, National University Hospital, Singapore Yong Loo Lin School of Medicine, National University of Singapore, SingaporeSearch for more papers by this authorDesmond B. Teo, Desmond B. Teo Yong Loo Lin School of Medicine, National University of Singapore, Singapore Integrated Medicine Programme, Alexandra Hospital, SingaporeSearch for more papers by this authorLi Feng Tan, Li Feng Tan orcid.org/0000-0003-1232-9308 Yong Loo Lin School of Medicine, National University of Singapore, Singapore Healthy Ageing Programme, Alexandra Hospital, SingaporeSearch for more papers by this author Isaac K. S. Ng, Isaac K. S. Ng orcid.org/0000-0002-1843-5948 Division of Rheumatology, Department of Medicine, National University Hospital, Singapore Yong Loo Lin School of Medicine, National University of Singapore, SingaporeSearch for more papers by this authorDesmond B. Teo, Desmond B. Teo Yong Loo Lin School of Medicine, National University of Singapore, Singapore Integrated Medicine Programme, Alexandra Hospital, SingaporeSearch for more papers by this authorLi Feng Tan, Li Feng Tan orcid.org/0000-0003-1232-9308 Yong Loo Lin School of Medicine, National University of Singapore, Singapore Healthy Ageing Programme, Alexandra Hospital, SingaporeSearch for more papers by this author First published: 22 August 2025 https://doi.org/10.1111/imj.70177Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookxLinkedInRedditWechatBluesky No abstract is available for this article. References 1Scott IA, Shaw T, Slade C, Wan TT, Barmanray R, Coorey C et al. Proposing core competencies for physicians in using artificial intelligence tools in clinical practice. Intern Med J 2025. https://doi.org/10.1111/imj.70112. 10.1111/imj.70112 Web of Science® Google Scholar 2Ten Cate O. Entrustability of professional activities and competency-based training. Med Educ 2005; 39: 1176–1177. 10.1111/j.1365-2929.2005.02341.x CAS PubMed Web of Science® Google Scholar 3Papanagnou D, Klein MR, Zhang XC, Cameron KA, Doty A, McCarthy DM et al. Developing standardized patient-based cases for communication training: lessons learned from training residents to communicate diagnostic uncertainty. Adv Simul 2021; 6: 26. 10.1186/s41077-021-00176-y PubMed Web of Science® Google Scholar 4Norcini J, Blank L, Arnold G, Norcini JJ, Blank LL, Arnold GK et al. The mini-CEX (clinical evaluation exercise): a preliminary investigation. Ann Intern Med 1995; 123: 795–799. 10.7326/0003-4819-123-10-199511150-00008 CAS PubMed Web of Science® Google Scholar 5Philibert I. Using chart review and chart-stimulated recall for resident assessment. J Grad Med Educ 2018; 10: 95–96. 10.4300/JGME-D-17-01010.1 PubMed Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
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