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一个大语言模型工作流程可审计的大脑风险分层和预居留奖学金:技术报告

Amir Akhavan1, Swapan Nath2

  • 1Medicine, Anne Burnett Marion School of Medicine at Texas Christian University, Fort Worth, USA.

Cureus
|February 2, 2026
PubMed
概括

本研究介绍了在医学教育中使用大型语言模型 (LLM) 来教授人工智能 (AI) 识字的指导框架. 它展示了LLM如何支持严格的学术工作,并为学员培养可审计的人工智能使用技能.

关键词:
人工智能的人工智能是人工智能.脑部,脑部.证据综合 证据综合大型语言模型.医学教育 医学教育导师制 导师制 导师制 导师制快速的工程迅速的工程风险分层的风险分层.本科医学教育 本科医学教育

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