Application of artificial intelligence in clinical education of hepatobiliary surgery

doi:10.3877/cma.j.issn.2095-3232.2025.06.003

Abstract

Abstract:

At present, multiple problems exist in clinical education of hepatobiliary surgery, such as traditional education mode and poor clinical operational capability of students, etc. Constructing standardized education models for hepatobiliary surgery has become the demand of educational reform and development. Considering high incidence of hepatobiliary diseases and frequent cases in clinical practice, mastering relevant knowledge plays a critical role in improving clinical treatment ability of medical students. However, traditional education mode is too theoretical to enable students to master practical skills. Besides, surgical treatment of hepatobiliary diseases is complicated and demanding, it is necessary to adopt a novel education mode different from traditional education method. Application of artificial intelligence (AI) can more efficiently integrate education resources. AI-aided design of problem-driven education method can cultivate students' clinical thinking. AI technology can be utilized to create a more simulated virtual imaging system and other tools to improve students' diagnostic capability of hepatobiliary diseases. In addition, it is necessary to strengthen surgical training and enable students to master operating norms in a safe environment using AI, virtual simulation and other technologies. Taken together, AI technology can realize intelligent case identification, virtual simulation training, and enhance education quality.

Key words: Artificial intelligence(AI), Medical education, Teaching method, Virtual reality(VR), Augmented reality(AR)

Yurong Xie, Liukang Tang, Mingzheng Chen, Weili Wang, Wenxue Miu, Feng Xie. Application of artificial intelligence in clinical education of hepatobiliary surgery[J]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2025, 14(06): 822-827.

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