用多智能体模拟专家会诊，提升胃肠道肿瘤诊疗决策准确率
Multi-Agent Intelligence for Multidisciplinary Decision-Making in Gastrointestinal Oncology
- 构建分层多智能体系统，模仿多学科团队协作流程
- 专家评分达4.60/5.00，显著优于单一模型基线
- 提升推理逻辑与医疗准确性，适合临床辅助决策场景
胃肠道（GI）肿瘤的多模态临床推理需要整合内镜影像、放射学数据和生化标志物。尽管多模态大语言模型（MLLMs）潜力显著，但在面对复杂异构病史时，常出现上下文稀释和幻觉问题。为此，提出一种分层多智能体框架，模拟人类多学科团队（MDT）的协作流程。该系统在综合专家评估中获得4.60/5.00分，显著优于单体基线模型。值得注意的是，基于智能体的架构在推理逻辑与医疗准确性方面提升最为明显。结果表明，仿生式智能体协作为肿瘤学自动化决策支持提供了一种可扩展、可解释且临床稳健的新范式。
原文摘要 · Abstract (English)
Multimodal clinical reasoning in the field of gastrointestinal (GI) oncology necessitates the integrated interpretation of endoscopic imagery, radiological data, and biochemical markers. Despite the evident potential exhibited by Multimodal Large Language Models (MLLMs), they frequently encounter challenges such as context dilution and hallucination when confronted with intricate, heterogeneous medical histories. In order to address these limitations, a hierarchical Multi-Agent Framework is proposed, which emulates the collaborative workflow of a human Multidisciplinary Team (MDT). The system attained a composite expert evaluation score of 4.60/5.00, thereby demonstrating a substantial improvement over the monolithic baseline. It is noteworthy that the agent-based architecture yielded the most substantial enhancements in reasoning logic and medical accuracy. The findings indicate that mimetic, agent-based collaboration provides a scalable, interpretable, and clinically robust paradigm for automated decision support in oncology.
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