相关实验视频

Updated: Sep 11, 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

578

一个多视图验证框架,用于LLM生成的慢性病知识图表

Aditya Kumar1,2, Dilpreet Singh3, Mario Cypko4,3

  • 1Hahn-Schickard, 79110, Freiburg, Germany. aditya.kumar@hahn-schickard.de.

International journal of computer assisted radiology and surgery
|August 14, 2025
PubMed
概括

我们开发了一个多视图验证框架来评估大型语言模型 (LLM) 产生的知识图 (KG) 三倍. 这种方法通过评估语义可信性,类型兼容性和结构重要性来确保高质量的医疗KG构建.

关键词:
慢性脏疾病 慢性脏疾病专家系统 专家系统医疗保健 医疗保健 医疗保健 医疗保健知识图是知识图.基于知识的建模.在法律上,LLMs.模型指导医学是指导模型的医学.腎臟病學 (nephrology) 是一種醫學專業.语义评估的语义评估三倍三倍的时间.验证 验证 验证 验证医疗信息学是一门医学信息学专业.

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