Integration Strategy of Artificial Intelligence in Medical Education Based on Evidence-Based Practice Approach (Preprint)

UNSTRUCTURED The advent of artificial intelligence has brought more opportunities and challenges for the future development of medical education, thereby become as a driving force to promote educational transformation. However, no consensus exists on how to systematically integrate artificial intelligence into medical education for bridging the gap between the rapid development of technology and medical education, and enhancing the quality of healthcare services. Evidence-based practice approach as a problem-solving strategy utilized across various professions, facilitates the translation of high quality evidence into clinical practice. This article aims to explore an innovative systematic pedagogical approach, integrating artificial intelligence into the medical domain through the application of the widely recognized “5A” method of evidence-based practice, from both practitioners’ and developers’ perspectives. Education field assumes responsibility for imparting knowledge and skills to students, enabling them to comprehend, analyze, and unlock intricacies of artificial intelligence. The proposal of this method and its innovative integration theory provide a new idea for the practice reformation of medical education is conducive to promoting innovative development of medical education.