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Updated: Jan 9, 2026

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
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评估大型语言模型在回答有关药物诱导肝损伤的常见问题上的表现

Yinuo Dong1, Zili Zhang2, Yang Zhi1

  • 1Division of Gastroenterology and Hepatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine; NHC Key Laboratory of Digestive Diseases; Shanghai Research Center of Fatty Liver Disease, Shanghai 200001, China.

JHEP reports : innovation in hepatology
|December 1, 2025
PubMed
概括

大型语言模型 (LLMs) 对药物诱导性肝损伤 (DILI) 患者教育有希望. 在某些比较中,LLaMA-3.1-405B表现出色,提供了准确和安全的信息,甚至超过了医生.

关键词:
人工智能的人工智能是人工智能.药物诱导的肝损伤是药物诱导的评价 评价 评价大型语言模型.自然语言处理自然语言处理.患者教育 患者教育

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