人工智能在医学教育领域的现状、未来治理研究  

Research on the current situation and future governance of artificial intelligence in the field of medical education

作　　者：武宗渊 刘振[1] 张宗明[1] WU Zongyuan;LIU Zhen;ZHANG Zongming(School of Medical Humanities,Nanjing University of Chinese Medicine,Nanjing 210023,China)

机构地区：[1]南京中医药大学医学人文学院,江苏南京210023

出　　处：《中国医学伦理学》2024年第9期1093-1100,共8页Chinese Medical Ethics

基　　金：2018年度国家社科基金重大项目“中医药文化国际传播认同体系研究”(18ZDA322);2021年度江苏省社科基金青年项目“医疗人工智能的伦理风险及应对策略研究”(21ZXC003);2024年江苏省研究生科研创新计划项目“手术机器人发展史研究”(KYCX24_2093)。

摘　　要：医学教育模式历经三次转变,如今正处于第四次变革的分水岭。人工智能技术的介入不仅重塑了医学模式,对医学教育模式也产生重要影响,包括保障基础医学实验安全规范进行、促进学生诊断思维能力的培养、因材施教、培育个性化教学方案、强化医学生的人文关怀意识、推进临床医学与其他社会科学的合作。与此同时,医疗人工智能也为教学参与者带来风险与挑战,教师与学生需要加强沟通交流,提升数字素养,保障数据安全,同时教师需要鼓励学生合理适度地使用技术品,防止学生迷失其中。医学院校需要与社会各界保持合作,共同面对已经产生的伦理风险,补齐法律监管的短板。同时提高自身科技创新水平,完善人才培养体系,培育顺应现代医学发展方向的新人。The medical education model has undergone three transformations and is currently at the watershed of the fourth iteration.The intervention of artificial intelligence(AI)technology not only reshapes the medical model,but also has a significant impact on the medical education model,including ensuring that basic medical experiments are conducted safely and consistently,promoting the cultivation of students’diagnostic thinking ability,teaching according to their aptitude,cultivating personalized teaching plans,strengthening the humanistic care awareness of medical students,and promoting cooperation between clinical medicine and other social sciences.Meanwhile,medical AI also brings risks and challenges to teaching participants.Teachers and students need to strengthen communication,improve digital literacy,and ensure data security,while teachers need to encourage students to use technology reasonably and moderately,thus preventing them from getting lost in it.Medical colleges and universities need to maintain cooperation with various sectors of society,jointly face the ethical risks that have already arisen,and make up for the gaps in legal supervision.At the same time,the level of scientific and technological innovation should be strengthened,the talent training systems should be improved,and new talents who are in line with the direction of modern medical development should be cultivated.

关 键 词：人工智能 医学教育 智慧医疗 

分 类 号：R-05[医药卫生]