JMIR medical education
Generative AI for Personalized Learning Platforms in Otolaryngology-Head and Neck Surgery Education: Scoping Review
Von Zhong JT, Cao ZZ und Zhou SH.
Inhalt auf Englisch
Abstract
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.