Artificial intelligence‐based self‐feedback on medical counselling performance

Medical EducationEarly View REALLY GOOD STUFF Artificial intelligence-based self-feedback on medical counselling performance Jee Young Hwang, Corresponding Author Jee Young Hwang [email protected] orcid.org/0000-0003-1491-8413 Correspondence Jee Young Hwang, Department of Medical Education and Obstetrics & Gynecology, Dongguk University College of Medicine, 123 Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do, South Korea. Email: [email protected] Contribution: Conceptualization, Data curation, Formal analysis, ​Investigation, Methodology, Writing - original draft, Writing - review & editingSearch for more papers by this author Jee Young Hwang, Corresponding Author Jee Young Hwang [email protected] orcid.org/0000-0003-1491-8413 Correspondence Jee Young Hwang, Department of Medical Education and Obstetrics & Gynecology, Dongguk University College of Medicine, 123 Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do, South Korea. Email: [email protected] Contribution: Conceptualization, Data curation, Formal analysis, ​Investigation, Methodology, Writing - original draft, Writing - review & editingSearch for more papers by this author First published: 07 November 2023 https://doi.org/10.1111/medu.15279Read 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 onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation