Keywords
Clinical teaching
Large language models
Medical education
Medical education governance
Submitted : 2026-06-14
Accepted : 2026-06-29
Published : 2026-07-14
Abstract
The iterative development of generative artificial intelligence (GenAI) and large language models has enabled them to support multiple aspects of clinical teaching at a functional level, including language support, virtual consultations, clinical reasoning and feedback support, skills simulation training, and writing and research assistance. This paper reviews the current status and evidence limitations of these typical application scenarios and proposes a GenAI governance model suitable for clinical teaching scenarios, considering the high-stakes nature of clinical teaching. Focusing on issues such as “hallucination” outputs and factual deviations, over-reliance, academic integrity, privacy, and data security, this paper proposes governance recommendations centered on clarifying responsibility boundaries and retaining key evidence. It advocates for the establishment of verifiable and correctable processes and regulatory mechanisms through collaboration between teaching institutions and development platforms, providing a reference for the standardized evaluation and reliable application of GenAI in clinical teaching.
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