Sun Li, Yin Changhao, Xu Qiuling, Zhao Weina
Department of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University Mudanjiang 157011, Heilongjiang, China.
Heilongjiang Key Laboratory of Ischemic Stroke Prevention and Treatment Mudanjiang 157011, Heilongjiang, China.
Am J Transl Res. 2023 Jul 15;15(7):4820-4828. eCollection 2023.
Human society has entered the age of artificial intelligence, medical practice and medical education are undergoing profound changes. Artificial intelligence (AI) is now applied in many industries, particularly in healthcare and medical education, where it deeply intersects. The purpose of this paper is to overview the current situation and problems of "AI+medicine/medical" education and to provide our own perspective on the current predicament.
We searched PubMed, Embase, Cochrane and CNKI databases to assess the literature on AI+medical/medical education from 2017 to July 2022. The main inclusion criteria include literature describing the current situation or predicament of "AI+medical/medical education".
Studies have shown that the current application of AI in medical education is focused on clinical specialty training and continuing education, with the main application areas being radiology, diagnostics, surgery, cardiology, and dentistry. The main role is to assist physicians to improve their efficiency and accuracy. In addition, the field of combining AI with medicine/medical education is steadily expanding, and the most urgent need is for policy makers, experts in the medical field, AI and education, and experts in other fields to come together to reach consensus on ethical issues and develop regulatory standards. Our study also found that most medical students are positive about adding AI-related courses to the existing medical curriculum. Finally, the quality of research on "AI+medical/medical education" is poor.
In the context of the COVID-19 pandemic, our study provides an innovative systematic review of the latest "AI+medicine/medical curriculum". Since the AI+medicine curriculum is not yet regulated, we have made some suggestions.
人类社会已进入人工智能时代，医疗实践和医学教育正在经历深刻变革。人工智能（AI）如今应用于许多行业，尤其是医疗保健和医学教育领域，二者深度交叉。本文旨在概述“AI+医学/医疗”教育的现状与问题，并就当前困境提供我们自己的观点。
我们检索了PubMed、Embase、Cochrane和中国知网数据库，以评估2017年至2022年7月间关于AI+医学/医疗教育的文献。主要纳入标准包括描述“AI+医学/医疗教育”现状或困境的文献。
研究表明，目前AI在医学教育中的应用集中于临床专业培训和继续教育，主要应用领域为放射学、诊断学、外科、心脏病学和牙科。主要作用是协助医生提高效率和准确性。此外，AI与医学/医疗教育相结合的领域正在稳步扩大，最迫切需要的是政策制定者、医学领域专家、AI和教育领域专家以及其他领域专家共同就伦理问题达成共识并制定监管标准。我们的研究还发现，大多数医学生对在现有医学课程中增加与AI相关的课程持积极态度。最后，“AI+医学/医疗教育”的研究质量较差。
在新冠疫情背景下，我们的研究对最新的“AI+医学/医疗课程”进行了创新性的系统综述。由于AI+医学课程尚未得到规范，我们提出了一些建议。
