多智能体框架MATEC辅助脓毒症诊疗，提升基层医疗能力。
The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care
- 构建由多个专业AI医生与风险预测模型组成的团队协同诊疗系统。
- 十位主治医师评估后认为该系统实用且准确，评分中位数达4分。
- 适合资源匮乏医院使用，可缓解专科医生短缺问题。
资源有限或偏远地区的医院往往缺乏专科医生和医疗人员，影响脓毒症患者的治疗效果。为弥补这一差距，我们开发了多智能体团队照护框架MATEC，集成多个专业化AI代理进行脓毒症诊疗。该框架包含五名医生代理、四名健康专业代理及一个风险预测模型代理，并额外提供33名医生代理以供咨询。十位教学医院的主治医师参与了基于网页的MATEC应用测试，平均耗时约40分钟，并完成5级李克特量表调查（1=不利，5=有利）。结果显示，医生们认为该框架非常有用（中位数=4，P=0.01）且非常准确（中位数=4，P<0.01）。本试点研究证明，多智能体团队照护框架MATEC在辅助医疗工作者方面具有潜力，尤其适用于资源匮乏的医疗机构。
原文摘要 · Abstract (English)
Under-resourced or rural hospitals have limited access to medical specialists and healthcare professionals, which can negatively impact patient outcomes in sepsis. To address this gap, we developed the MATEC (Multi-AI Agent Team Care) framework, which integrates a team of specialized AI agents for sepsis care. The sepsis AI agent team includes five doctor agents, four health professional agents, and a risk prediction model agent, with an additional 33 doctor agents available for consultations. Ten attending physicians at a teaching hospital evaluated this framework, spending approximately 40 minutes on the web-based MATEC application and participating in the 5-point Likert scale survey (rated from 1-unfavorable to 5-favorable). The physicians found the MATEC framework very useful (Median=4, P=0.01), and very accurate (Median=4, P<0.01). This pilot study demonstrates that a Multi-AI Agent Team Care framework (MATEC) can potentially be useful in assisting medical professionals, particularly in under-resourced hospital settings.
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