人工智能大语言模型在神经病学教学中的应用探讨OA

Neurology,as a secondary clinical discipline,faces challenges in teaching due to its complex knowledge system and the difficulty of cultivating clinical thinking.Large language model(LLM),through machine learning techniques,demonstrate strong natural language processing capabilities and bring new opportunities for neurology teaching.Taking the teaching of Alzheimer’s disease as an example,this paper explores the specific applications of LLM in classroom teaching,assessment and evaluation,and clinical practice.It also analyzes key challenges such as data privacy,content accuracy,and the cultivation of students’clinical reasoning abilities,and proposes corresponding strategies and future prospects,with the aim of providing references for the modernization of neurology education.