Yu Tian, Tengfei Zuo, Qianqian Sun, Lu Sun, Sheng Cao, Ningbo Qin
The Association Between Generalized and Specific Problematic Internet Use and Its Gender Differences Across Different Educational Levels
Frontiers in psychology
use artificial intelligence ai medicine expected increase significantly upcoming years advancements ai technology potential revolutionize health care aiding diagnosis certain diseases helping treatment decisions current literature suggests integration subject ai medicine part medical curriculum prepare medical students opportunities challenges related use technology within clinical context aimed explore relevant knowledge understanding subject ai medicine specify curricula teaching content within medical education research conducted 12 guidelinebased expert interviews experts defined individuals engaged fulltime academic research development teaching field ai medicine least 5 years part data analysis recorded transcribed analyzed interviews using qualitative content analysis used software qcamap inductive category formation analyze data qualitative content analysis led formation three main categories knowledge interpretation application total 9 associated subcategories experts interviewed cited knowledge understanding fundamentals ai statistics ethics privacy regulation necessary basic knowledge part medical education analysis also showed medical students need able interpret well critically reflect results provided ai taking account associated risks data basis enable application ai medicine medical education promote acquisition practical skills including need basic technological skills well development confidence technology ones related competencies analyzed expert interviews results suggest medical curricula include topic ai medicine develop knowledge understanding confidence needed use ai clinical context results imply imminent need standardization definition ai foundation identify define teach respective content ai within medical curricula