数智化教学与人工智能在临床医学教育中的应用与发展OA

In recent years,the rapid development of artificial intelligence(AI)technology has promoted digital-intelligent teaching as an important direction for the transformation of clinical medical education,providing new pathways to address pain points such as insufficient personalized guidance and limited practical scenarios in traditional teaching.Currently,there is a large body of systematic reviews,scoping reviews,and expert consensus both domestically and internationally on the integration of AI and clinical medical education.While the appli-cation value of AI in scenarios such as clinical skill training and personalized learning has been clearly established,existing research still faces knowledge gaps,including the lack of a cultivation system for medical students'AI literacy,insufficient analysis of evidence levels for technology application,and unclear interdisciplinary integration practice pathways.Moreover,a digital-intelligent teaching integration framework tailored to the characteristics of clinical medical education has yet to be formed.This article systematically reviews the progress and limitations of review-type studies on the same topic over the past five years,clarifies the innovative positioning of this research,defines the core concepts and technological foundations of digital-intelligent teaching,analyzes specific application scenarios of AI in clinical medi-cal education through evidence level analysis,specifically examines the core challenges and industry controversies in technology implemen-tation,focuses on constructing curriculum,teaching,and evaluation systems around the cultivation of medical students'AI literacy,identi-fies knowledge gaps in existing research and future research directions,and provides a theoretical framework and reference pathway with both academic incremental value and practical significance for the digital-intelligent transformation of clinical medical education.