The integration of artificial intelligence (AI) education into medical curricula is critical for preparing future healthcare professionals. This research employed the Delphi method to establish an expert-based AI curriculum for Canadian undergraduate medical students. A panel of 18 experts in health and AI across Canada participated in three rounds of surveys to determine essential AI learning competencies. The study identified key curricular components across ethics, law, theory, application, communication, collaboration, and quality improvement. The findings demonstrate substantial support among medical educators and professionals for the inclusion of comprehensive AI education, with 82 out of 107 curricular competencies being deemed essential to address both clinical and educational priorities. It additionally provides suggestions on methods to integrate these competencies within existing dense medical curricula. The endorsed set of objectives aims to enhance AI literacy and application skills among medical students, equipping them to effectively utilize AI technologies in future healthcare settings.

将人工智能 （AI） 教育整合到医学课程中对于培养未来的医疗保健专业人员至关重要。本研究采用 Delphi 方法为加拿大本科医学生建立了基于专家的 AI 课程。一个由加拿大 18 名健康和 AI 专家组成的小组参加了三轮调查，以确定基本的 AI 学习能力。该研究确定了道德、法律、理论、应用、沟通、协作和质量改进等关键课程组成部分。研究结果表明，医学教育工作者和专业人士对纳入全面的人工智能教育给予了大力支持，107 项课程能力中有 82 项被认为对于解决临床和教育优先事项至关重要。它还提供了将这些能力整合到现有密集医学课程中的方法的建议。这套认可的目标旨在提高医学生的人工智能素养和应用技能，使他们能够在未来的医疗保健环境中有效利用人工智能技术。