Disease diagnosis is a key application of large language model (LLM) agents in healthcare. However, existing medical agents are primarily trained and evaluated with static question-answering data, providing limited opportunities to learn active information acquisition, examination decision-making, and dynamic clinical...
Sirry Chen, Fang-Ke Chen, Xuanwen Ding et al.· 0 citations
SOTER is presented, a generative foundation model for wearable physiological time series that unifies cross-channel coupling, spectrum-guided expert specialization, and continuous-time latent evolution within a single pre-training framework and achieves the best RMSE on 4 of 6 datasets and the best MAE on 5 of 6.
Fang-Ke Chen, Sirry Chen, Wei Chen et al.· 1 citation
ObGynLongBench is introduced, a rule-grounded long-context EHR benchmark for obstetric and gynecologic decision-making, comprising 1,500 clinical decision-point cases from 976 real pregnancy EHR histories and traceable rules.
Jun Xiang, Zhi-Jie Bao, Rong Hu et al.· 1 citation
RIDGE, a frame selection framework that reads the frame-query similarity curve as a temporal signal, partitions the timeline into structural regions and applies region-specific selection to preserve event cores, transitions, buildup, aftermath, and contextual frames under a fixed budget.
Shan Xu, Meng-Xin Luo, Meng-Chen Qian et al.· 0 citations
This work introduces MedReaMM, a benchmark specifically designed to evaluate models'ability to synthesize heterogeneous clinical evidence consisting of detailed patient histories alongside multiple medical images into accurate differential diagnoses under a complete-information paradigm.
Lai Wei, Yu-Chao Chen, Zhenbiao Cao et al.· 0 citations
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