Electronic health records (EHRs) are a rich source of real-world clinical data, but turning them into valid analyses remains slow, brittle, and expert-intensive. Although recent AI agents can answer medical questions and use tools, automating full EHR workflows remains difficult because small planning or execution erro...
Yinghao Zhu, Zi-Xiang Wang, Yi-Fan Qi et al.· npj Digital Medicine· 0 citations
OrthoPilot is a clinical artificial intelligence system powered by a large language model (LLM) that integrates hospital data streams with authoritative external knowledge for continuous musculoskeletal care and autonomously retrieves real-time imaging, laboratory, pathology and order data and translates evolving patie...
This work evaluates 10 state-of-the-art MLLMs and examines three factors that influence performance: reasoning patterns, auxiliary tools, and robustness to image perturbations, showing that MLLM accuracy decreases and varies substantially as computational complexity increases.
Ziyan Xiao, Yinghao Zhu, Wen-Ting Zhang et al.· 1 citation
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