Doumat George, Daher Darine, Ghanem Nadim-Nicolas, Khater Beatrice
Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Department of Family Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Front Artif Intell. 2022 Nov 2;5:1015418. doi: 10.3389/frai.2022.1015418. eCollection 2022.
This study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool.
This is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon.
A total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective.
Education about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
本研究评估黎巴嫩医学生对医学教育中人工智能（AI）的知识和态度。它还探讨了学生对人工智能在医学教育中作为课程主题和教学工具的作用的看法。
这是一项横断面研究，使用包含封闭式问题的在线调查。该调查针对黎巴嫩7所医学院所有医学层次的医学生。
共有206名医学生做出回应。在评估人工智能知识来源时，81.1%的学生从媒体获取信息，相比之下，只有9.7%的学生从医学院课程中获取信息。然而，将人工智能基础知识作为医学院课程一部分学习的学生比未学习的同龄人对人工智能了解更多。处于临床阶段的学生似乎对医学人工智能了解更多。人工智能的进步影响了约四分之一学生（26.8%）对专业的选择。最后，尽管大多数学生（57.7%）报告称人工智能评估更客观，但只有四分之一的学生（26.5%）希望接受人工智能评估。
应将人工智能教育纳入医学院课程，以提高医学生的知识和态度。提高医学生的人工智能知识反过来会增加他们对人工智能作为医学教育工具的接受度，从而释放其在医学教育变革中的潜力。
