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Yun-Qi Zhu

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#artificial intelligence Preprint Sep 2026

Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent

MedTraj is proposed, a framework that treats reasoning trajectories as critical objects for construction, evaluation, and optimization, and quality-weighted context learning feeds trajectory evaluations back into the model at inference time, allowing it to learn from both strong and weak reasoning demonstrations.

Yun-Qi Zhu, Wen-Sheng Zhang, Xue-Bing Yang · 0 citations
Open access Jul 2026

The potential of LLMs in generating questions and answers with EHRs

Conventional medical education requires clinicians to formulate questions and answers based on prototypes from EHRs, which is heuristic and time-consuming, this study shows that mainstream LLMs could generate questions and answers with real-world EHRs at levels close to clinicians.

Yunqi Zhu, Wen Tang, Huayu Yang et al. · 1 citation

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