A two-agent structure for enhanced reasoning
Our work addresses this problem with a novel method primarily based on the interaction of two LLM-driven brokers, which is similar to how human clinicians sort out administration issues.
The Dialogue Agent is user-facing and geared up to quickly reply primarily based on its present understanding of the affected person. This agent handles the conversational elements of the interplay, gathering details about the affected person’s situation, addressing their considerations, and constructing rapport. By leveraging pure language processing and empathetic communication strategies, the Dialogue Agent ensures a seamless and fascinating person expertise.
The Mx Agent (Administration Reasoning Agent) intentionally and constantly analyzes the obtainable info, together with medical tips and patient-specific information, to optimize administration of the affected person. Leveraging Gemini’s state-of-the-art long-context capabilities, this agent synthesizes and causes over giant quantities of data — affected person dialogues throughout a number of visits along with a whole lot of pages of medical tips — unexpectedly. Utilizing this method, it produces structured plans for investigations, remedies, and follow-up care, bearing in mind the newest medical proof, info gathered throughout earlier visits, and particular person affected person preferences.
