Artificial Intelligence in Medical Education and Mentoring in Rehabilitation Medicine

医学 康复 医学教育 梅德林 物理医学与康复 物理疗法 政治学 法学
作者
Julie K. Silver,Mustafa Reha Dodurgali,Nara Gavini
出处
期刊:American Journal of Physical Medicine & Rehabilitation [Lippincott Williams & Wilkins]
卷期号:103 (11): 1039-1044 被引量:11
标识
DOI:10.1097/phm.0000000000002604
摘要

Artificial intelligence emerges as a transformative force, offering novel solutions to enhance medical education and mentorship in the specialty of physical medicine and rehabilitation. Artificial intelligence is a transformative technology that is being adopted in nearly every industry. In medicine, the use of artificial intelligence in medical education is growing. Artificial intelligence may also assist with some of the challenges of mentorship, including the limited availability of experienced mentors, and the logistical difficulties of time and geography are some constraints of traditional mentorship. In this commentary, we discuss various models of artificial intelligence in medical education and mentoring, including expert systems, conversational agents, and hybrid models. These models enable tailored guidance, broaden outreach within the physical medicine and rehabilitation community, and support continuous learning and development. Balancing artificial intelligence's technical advantages with the essential human elements while addressing ethical considerations, artificial intelligence integration into medical education and mentorship presents a paradigm shift toward a more accessible, responsive, and enriched experience in rehabilitation medicine.
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