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Updated: Sep 14, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

586

在现有的人工智能报告准则中缺乏方法论严谨性和有限的生成人工智能覆盖范围:范围审查

Xufei Luo1, Bingyi Wang1, Qianling Shi2

  • 1Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; World Health Organization Collaboration Center for Guideline Implementation and Knowledge Translation, Lanzhou, China; Institute of Health Data Science, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine of Gansu Province, Lanzhou University, Lanzhou, China.

Journal of clinical epidemiology
|July 20, 2025
PubMed
概括

现有的医疗人工智能 (AI) 报告准则缺乏严格性,并且不充分涵盖诸如大语言模型 (LLM) 等生成性AI (GAI) 工具. 需要更新指南,以改善开发流程,并专注于新兴的人工智能技术.

关键词:
人工智能的人工智能是人工智能.生成型的人工智能 (GAI) 是一种人工智能.大型语言模型.方法论质量 方法论质量报告准则 报告准则范围审查 范围审查

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