A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing
面向医疗AI的多智能体框架:利用微调的GPT、LLaMA和DeepSeek R1进行基于证据和偏见意识的临床查询处理
机构 * Department of Computing ; Games, Teesside University, Middlesbrough, United Kingdom Centre for Digital Innovation, Teesside University, Middlesbrough, United Kingdom Faculty of Business \& Technology, University of Sunderland, Sunderland, United Kingdom
专题命中 生物医学文本 :medical AI(title,abstract);biomedical(abstract)
AI总结 本文提出一个多智能体框架,利用微调的GPT、LLaMA和DeepSeek R1,结合证据检索和偏见检查,提升医疗问答的可靠性与准确性。
Comments 27 pages, 14 figures, 5 tables