Applications and challenges of generative artificial intelligence in surgical teaching

doi:10.3760/cma.j.cn115259-20240529-00542

Abstract

Abstract: With the rapid development of generative AI (GenAI) technology, its application in the field of surgical teaching becomes increasingly important. This article reviews the applications of GenAI in surgical professional education areas such as surgery video analysis, robotic surgery assistance, surgical skills training, clinical thinking development, virtual standardized patient (SP) interaction, personalized learning path design, knowledge graph integration, multimodal learning experience construction, and digital twin technology simulation. At the same time, the article also explores the ethical, legal, and social issues that accompany the application of these technologies, as well as the challenges of the technologies themselves and the directions for future development.

Key words: Specialties, surgical, Generative artificial intelligence, Clinical medical education, Skills training, Personalized learning, Knowledge graph, Multimodal learning, Digital twin

CLC Number:

R-05

Chen Jiancong, Zhang Kunsong, Huang Xitai, Zhang Yunjian, Feng Shaoting, Kuang Ming. Applications and challenges of generative artificial intelligence in surgical teaching[J]. Chinese Journal of Medical Education, 2025, 45(3): 167-173.

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