Construction and implementation of a modular teaching system for cerebrovascular diseases:combining artificial intellignce tools and modern educational concepts
Li Min
Yao Xuefan
Song Juexian
Abstract：Cerebrovascular diseases(CVDs)are a group of diseases affecting the health of the global population,and their high incidence,death rate and disability rate pose a great challenge for patient health and social medical service system.With the development of medical science and the changes in clinical needs,the traditional medical education model in the field of CVDs faces a great challenge in keeping up with the advancement of multidisciplinary knowledge.To cope with this challenge,a modular teaching system has emerged as a more systematic and structured teaching method that efficiently integrates multidisciplinary knowledge and enhances clinical decision-making ability and comprehensive understanding of CVDs.This article addresses the development and implementation of a modular teaching system for CVDs in the light of the current advances in artificial intelligence technology and knowledge management tools,and focuses on the theoretical basis,curriculum design,implementation strategies and evaluation methods of modular teaching.In addition,this article combines knowledge blocks with artificial intelligence large language modeling,aiming to provide a more effective teaching system for standardized residency training.
Keywords：cerebral vasular diseasesmodular teachingartificial intelligence large language modelstandardized residency training
Publication Date：2025-08-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 566-569 )