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
[Ovid Technologies (Wolters Kluwer)]
日期:2024-07-16
标识
DOI:10.1097/phm.0000000000002604
摘要
Artificial Intelligence (AI) emerges as a transformative force, offering novel solutions to enhance medical education and mentorship in the specialty of Physical Medicine and Rehabilitation (PM&R). AI is a transformative technology that is being adopted in nearly every industry, In medicine, the use of AI in medical education is growing. AI 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 AI in medical education and mentoring, including expert systems, conversational agents, and hybrid models. These models enable tailored guidance, broaden outreach within the PM&R community, and support continuous learning and development. Balancing AI's technical advantages with the essential human elements while addressing ethical considerations, AI integration into medical education and mentorship presents a paradigm shift towards a more accessible, responsive, and enriched experience in rehabilitation medicine.
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