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Updated: Jan 16, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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MedPromptEval:一种全面的框架,用于对临床问题答案系统进行系统的评估

Al Rahrooh1, Anders O Garlid1, Panayiotis Petousis1

  • 1Medical & Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.

Studies in health technology and informatics
|October 3, 2025
PubMed
概括

在医疗保健中评估大型语言模型 (LLM) 是一个挑战. MedPromptEval提供了一个系统评估LLM-prompt组合的框架,提高临床AI可靠性.

关键词:
评价 评价 评价可以解释的可解释性.大型语言模型.可复制性 可复制性

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