“人工智能+”在口腔黏膜病教学中的应用思考与发展趋势  

Application and development trends of“artificial intelligence+”in the teaching of oral mucosal diseases

作　　者：王诗萌 吴芳龙 周红梅[1] WANG Shimeng;WU Fanglong;ZHOU Hongmei(State Key Laboratory of Oral DiseasesNational Center for StomatologyNational Clinical Research Center for Oral Diseases Frontier Innovation Center for Dental Medicine West China Hospital of Stomatology,Sichuan University,Sichuan Province,Chengdu610041,China)

机构地区：[1]口腔疾病防治全国重点实验室、国家口腔医学中心、国家口腔疾病临床医学研究中心、口腔医学+前沿医学中心、四川大学华西口腔医学院,四川成都610041

出　　处：《中国医药导报》2024年第32期77-81,共5页China Medical Herald

基　　金：国家自然科学基金资助项目(82301094);四川省自然科学基金青年基金项目(2024NSFSC1587)。

摘　　要：随着量子计算、神经网络、深度学习和大数据数据库功能的不断提升,人工智能已成为包括口腔医学教育在内的各领域研究热点问题。人工智能可突破现有教学模式的限制,推动口腔医学教育的快速发展。口腔黏膜病学是研究疾病病因、发病机制、诊断、治疗和预防的一门重要临床学科,由于其病因繁杂、病损形态多样难辨,诊断和治疗存在较大难度,均可导致学生在学习理解课程知识上存在困难。本文从口腔黏膜病教学现状和困境入手,结合人工智能技术优势及其在医学教育中的发展情况,对其在口腔黏膜病教学中的应用现状和发展趋势进行剖析,同时关注该领域面临的限制及挑战,以期为从人工智能应用角度提升口腔黏膜病课程教学效果提供参考。With the continuous advancement of quantum computing,neural networks,deep learning,and big data database capabilities,artificial intelligence has emerged as a prominent research focus in various fields,including dental education.Artificial intelligence can break through the limitations of existing teaching models,and promote the rapid development of dental education.Oral mucosal diseases is an important clinical discipline that studies the etiology,pathogenesis,diagnosis,treatment,and prevention of diseases.Due to its complex etiology and diverse lesion forms,diagnosis and treatment are difficult,which can lead to difficulties for students in learning and understanding course knowledge.This paper starts with the current teaching situation of oral mucosal diseases,combines with the advantages and application of artificial intelligence technology,investigates its application in oral mucosal diseases and analyzes its development trend,at the same time,pay attention to the limitations and challenges faced in this field,in order to provide reference for improving the teaching effectiveness of oral mucosal disease courses from the perspective of artificial intelligence application.

关 键 词：人工智能 口腔黏膜病学 智能化教学 教学效果 

分 类 号：R78[医药卫生—口腔医学]