美国医学院学生对医学人工智能的认知:卡塔尔世界杯8强波胆分析混合方法调查研究%A Liu,David Shalom %A Sawyer,Jake %A Luna,Alexander %A Aoun,Jihad %A Wang,Janet %A Boachie,Lord %A Halabi,Safwan %A Joe,Bina %+托莱多大学医学与生命科学学院生理与药学系，俄亥俄州托莱多阿灵顿大道3000号，43614，美国，1419 383 4144，bina.joe@utoledo.edu %K人工智能%K电子健康%K数字健康%K整合%K医学教育%K医学课程%K教育%K医学生%K医学院%K选修课程%D 2022 %7 21.10.2022 %9原文%J JMIR医学教育%G英语%X鉴于人工智能在临床医学中的发展势头迅速，当前的医师领导者呼吁将人工智能主题更多地纳入本科医学教育。这是为了让未来的医生更好地与人工智能技术合作。然而，课程开发的第一步是调查最终用户的需求。目前还没有一项研究来确定美国医科学生最喜欢哪些媒体和哪些话题来学习医学中的人工智能话题。目的:我们旨在调查美国医学生在本科医学教育中纳入人工智能的必要性，以及他们倾向于采用哪种方式来协助未来的教育举措。方法:2021年5月，一项由具体问题和书面回答部分组成的混合方法调查通过qualrics发送给美国医科学生。李克特量表问题首先用于评估医学中对人工智能的各种看法。 Specific questions were posed regarding learning format and topics in artificial intelligence. Results: We surveyed 390 US medical students with an average age of 26 (SD 3) years from 17 different medical programs (the estimated response rate was 3.5%). A majority (355/388, 91.5%) of respondents agreed that training in artificial intelligence concepts during medical school would be useful for their future. While 79.4% (308/388) were excited to use artificial intelligence technologies, 91.2% (353/387) either reported that their medical schools did not offer resources or were unsure if they did so. Short lectures (264/378, 69.8%), formal electives (180/378, 47.6%), and Q and A panels (167/378, 44.2%) were identified as preferred formats, while fundamental concepts of artificial intelligence (247/379, 65.2%), when to use artificial intelligence in medicine (227/379, 59.9%), and pros and cons of using artificial intelligence (224/379, 59.1%) were the most preferred topics for enhancing their training. Conclusions: The results of this study indicate that current US medical students recognize the importance of artificial intelligence in medicine and acknowledge that current formal education and resources to study artificial intelligence–related topics are limited in most US medical schools. Respondents also indicated that a hybrid formal/flexible format would be most appropriate for incorporating artificial intelligence as a topic in US medical schools. Based on these data, we conclude that there is a definitive knowledge gap in artificial intelligence education within current medical education in the US. Further, the results suggest there is a disparity in opinions on the specific format and topics to be introduced. %M 36269641 %R 10.2196/38325 %U https://mededu.www.mybigtv.com/2022/4/e38325 %U https://doi.org/10.2196/38325 %U http://www.ncbi.nlm.nih.gov/pubmed/36269641