|
|
Reform status and exploration of higher medical education under the background of artificial intelligence#br# |
WANG Yan CHU Hong LIANG Jingjing LU Zuneng XIAO Zheman |
Department of Neurology, Renmin Hospital of Wuhan University, Hubei Province, Wuhan 430060, China |
|
|
Abstract With the development of global science and technology, the information age has gradually developed into the age of artificial intelligence. Artificial intelligence is deriving more technologies and innovations in medicine. “artificial intelligence + medical” brings convenient medical treatment experience to both doctors and patients, which has huge market demand. However, at present, there are few artificial intelligence-related teaching staff in higher medical education, and the artificial intelligence courses carried out are not yet complete, leading to the shortage of medical artificial intelligence compound talents. Vocational innovation is the driving force of educational reform, and the reform of higher medical education is bound to embark on a journey. This article will deeply explore the current medical development model, analyze the current situation of medical education reform at home and abroad, explore the top-level design and policies of medical education, and put forward important measures to promote the development of medical education in the age of artificial intelligence, so as to help national precision medicine. In addition, in higher medical education, it is necessary to strengthen the understanding of the ethical and legal issues brought about by “artificial intelligence + medical”, and correctly and effectively use artificial intelligence for serve medicine.
|
|
|
|
|
[1] 王佑镁,宛平,赵文竹,等.科技向善:国际“人工智能+教育”发展新路向——解读《教育中的人工智能:可持续发展的机遇和挑战》[J].开放教育研究,2019,25(5):23-32.
[2] Yu KH,Beam AL,Kohane IS. Artificial intelligence in healthcare [J]. Nat Biomed Eng,2018,2(10):719-731.
[3] Zhao Y,Fesharaki NJ,Liu H,et al. Using data-driven sublanguage pattern mining to induce knowledge models:application in medical image reports knowledge representation [J]. BMC Med Inform Decis Mak,2018,18(1):61.
[4] Park SH,Do KH,Kim S,et al. What should medical students know about artificial intelligence in medicine? [J]. J Educ Eval Health Prof,2019,16(7):18.
[5] 袁紫藤,陶金婷,谈莹,等.国内外医疗人工智能应用现状及相关政策[J].医学信息学杂志,2019,40(5):2-9.
[6] Mark KL,Zenati MS,Khodakov A,et al. Evolution of a Novel Robotic Training Curriculum in a Complex General Surgical Oncology Fellowship [J]. Ann Surg Oncol,2018, 25(12):3445-3452.
[7] 范舜,谈在祥.人工智能背景下“新医科”建设的挑战与变革[J].中国高校科技,2019,32(7):56-59.
[8] Krittanawong C,Zhang H,Wang Z,et al. Artificial Intelligence in Precision Cardiovascular Medicine [J]. J Am Coll Cardiol,2017,69(21):2657-2664.
[9] 田雪晴,游茂.我国医学人工智能在医疗机构发展面临的问题及政策建议[J].卫生软科学,2019,33(10):42-44.
[10] 何达,喻惠敏,石瑛,等.我国医疗行业对人工智能相关人才的需求分析——基于两网站招聘信息的调查[J].中国卫生政策研究,2019,12(7):59-64.
[11] 王晰巍,李玥琪,刘宇桐,等.大数据及人工智能时代背景下国外图书情报专业研究生人才培养趋势研究[J].图书情报工作,2019,63(11):5-14.
[12] 岳梅,张叶江.人工智能时代医学教学改革方向研究[J].中国继续医学教育,2020,12(7):6-9.
[13] 张茂聪,张圳.我国人工智能人才状况及其培养途径[J].现代教育技术,2018,28(8):19-25.
[14] 杨茜茜,顾天翼,钱小龙.美国斯坦福大学人工智能人才培养特征研究[J].开放学习研究,2019,24(5):40-47.
[15] 吕薇,季波,张怡凡,等.美国一流研究型高校人工智能人才培养的经验与启示——基于“以学生为中心”的视角[J].大学教育科学,2019,6(6):102-109.
[16] 李哲,李娟,李章杰,等.日本人工智能战略及人才培养模式研究[J].现代教育技术,2019,29(12):21-27.
[17] 赵熙敏,李丽.人工智能时代教育的认知、变革与发展[J].广西社会科学,2020,35(6):173-177.
[18] 万莉,贡丽英,吴清,等.人工智能在高等医学教育中的应用前景[J].中国医学教育技术,2018,32(6):607-610.
[19] Winkler-Schwartz A,Bissonnette V,Mirchi N,et al. Artificial Intelligence in Medical Education:Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation [J]. J Surg Educ,2019,76(6):1681-1690.
[20] 梁华,杨光祥,胡健,等.面向新工科的人工智能教学科研复合型实验室体系建设[J].实验技术与管理,2019, 36(7):266-269.
[21] 张小勤,谭立文,吴毅,等.基于案例式的医学本科生人工智能课程教学与实践[J].重庆医学,2020,49(13):2226-2228.
[22] 余琍,彭敏,刘树波.武汉大学人工智能本科专业人才培养探究[J].教育现代化,2019,6(70):15-17.
[23] 朱明,孙婉婷,陈莉,等.人工智能时代康复专业创新实践人才培养研究[J].医学教育管理,2019,5(4):293-296.
[24] 姚琳,石志国.人工智能课程体系与教学方法研究[J].中国大学教学,2019,40(10):19-22.
[25] 侯丽华,李含,谷开慧.人工智能背景下高校人才培养体系及科技创新体系的探究[J].产业科技创新,2020,2(33):24-25.
[26] 任增元,刘军男.人工智能时代高校人才培养变革的思考[J].大学教育科学,2019,36(4):114-121.
[27] 胡卫军.新形势下“人工智能+”人才培养模式探讨[J].西部素质教育,2018,4(23):7-9.
[28] 徐勤,雷星晖,施骞,等.人工智能背景下复合型会计人才培养路径探究[J].教育评论,2019,34(6):78-82.
[29] 余学祥,吕伟才,王虎,等.人工智能时代下导航工程专业人才培养模式探究[J].现代信息科技,2019,3(22):194-196.
[30] 刘杨,李宝琴.新医科背景下高等中医药院校创新创业教育体系的变革与探索[J].中国医药导报,2020,17(27):193-196.
[31] Price WN,Gerke S,Cohen IG. Potential Liability for Physicians Using Artificial Intelligence [J]. JAMA,2019, 322(18):1765-1766.
[32] Matheny ME,Whicher D,Thadaney IS. Artificial Intelligence in Health Care:A Report From the National Academy of Medicine [J]. JAMA,2020,323(6):509-510. |
|
|
|