arXiv AI By Qiyuan Li, Xiaomei Guo, Chao Gao, Haijiang Liu, Deyu Chen, Caicai Guo, Jinguang Gu

Decoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation

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The paper introduces CoRPS-Dial, a dual-agent framework that synthesizes pre‑consultation medical dialogues by combining a persona‑driven patient agent with a process‑guided doctor agent. It incorporates post‑hoc quality control to ensure role consistency, workflow completeness, and textual consistency. Experiments on coronary heart disease data show that CoRPS‑Dial produces dialogues that better match real conversations in information coverage, clinical compliance, and naturalness, and that the synthetic data improves downstream medical dialogue tasks.

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arXiv AI
Aug 14

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination

arXiv:2608. 13476v1 Announce Type: new Abstract: We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical reasoning.

By Saisha Shetty, Satvik Tripathi, Austin Lin, Colin Zhao, Theodore Kim, Don Enwerem, Jacinta Arnold, Shahriar Faghani, Tessa S Cook