Research on Optimization Path of Neurosurgery Clinical Teaching Management Mode Integrating Artificial Intelligence and PBL Teaching Method
Li Yang
Zhang Sijia
Zhang Lihan
Yang Haicheng
Cai Jinquan
Meng Xiangqi
Jiang Chuanlu
Abstract：Objective In the clinical teaching of neurosurgery,the traditional Problem-Based Learning(PBL)teaching model faces systematic challenges such as the disconnection between the training cycle of specialized talents and technological iteration,the limitation of practical opportunities due to hospital infections,and the inefficient allocation of teaching resources.It provides a new path for teaching reform based on the deep integration of Artificial Intelligence and PBL,but it still needs to address issues such as differences in intern participation,insufficient technical adaptability of instructors,and fragmented resource allocation.Based on these problems,a collaborative mechanism of"technology development-talent cultivation"and a multi-dimensional optimization path of"intern participation-instructor training-hospital resource input"are proposed.On this basis,through collaborative strategies such as strengthening the incentive mechanism for autonomous learning,establishing a standardized instructor training system,and building a dynamic resource allocation platform,the management of neurosurgery clinical teaching is promoted towards intelligence,personalization,and systematization.
Keywords：Artificial IntelligenceProblem-Based Learningneurosurgeryclinical teachingmedical education management
Publication Date：2025-08-05
Online Publishing Date：2025-08-20(First online date of this platform, not the publication date of the document)
Pages：4( 70-72,76 )