arXiv AI September 7, 2026 By Yunqi Zhu, Wensheng Zhang, Xuebing Yang

Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent

The paper introduces MedTraj, a framework that constructs, evaluates, and optimizes multi‑step reasoning trajectories for medical AI agents. It parses each trajectory into observations, evidence, numbered steps, and a conclusion, scoring them on coherence, evidence support, hallucination, completeness, and traceability. Experiments on CareQA, PubMedQA, and CECMed show that incorporating quality‑weighted trajectory context improves reasoning coherence and correctness while significantly reducing hallucinations.

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