JMIR medical education
Generative AI for Personalized Learning Platforms in Otolaryngology-Head and Neck Surgery Education: Scoping Review
Por Zhong JT, Cao ZZ y Zhou SH.
Contenido en inglés
Resumen
Background
Generative AI, including large language models (LLMs), may enable personalized learning in medical education. In otolaryngology-head and neck surgery (ear, nose, and throat [ENT]) education, AI may support knowledge retrieval, adaptive assessment, feedback, and scalable learning, but evidence remains fragmented.
Objective
This scoping review aimed to map generative AI research in otolaryngology education; summarize applications, performance, benefits, and risks; and identify directions for AI-enabled personalized learning.