Background: Since the advent of artificial intelligence (AI) in 1955, the applications of AI
have increased over the years within a rapidly changing digital landscape where public …

Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

Background To examine the artificial intelligence (AI) tools currently being studied in modern
medical education, and critically evaluate the level of validation and the quality of evidence …

Artificial intelligence (AI) is widely used in medicine. AI may provide low-cost solutions to
health problems and is especially important for develo** countries. Health-care …

Artificial intelligence (AI) is a rapidly advancing technology that has the potential to
revolutionize medical education. AI can provide personalized learning experiences, assist …

Purpose To identify the different machine learning (ML) techniques that have been applied
to automate physician competence assessment and evaluate how these techniques can be …

Students' reflective writings in gross anatomy provide a rich source of complex emotions
experienced by learners. However, qualitative approaches to evaluating student writings are …

Purpose Develo** medical students' clinical reasoning requires a structured longitudinal
curriculum with frequent targeted assessment and feedback. Performance-based …

Purpose This study explores uses of artificial intelligence (AI) in health professions
education for non–psychomotor skills training at undergraduate, postgraduate, and …

Abstract Background The Liaison Committee on Medical Education requires that medical
students receive individualized feedback on their self-directed learning skills. Pre-clinical …