EVLF-FM is introduced, a multimodal vision language foundation model that combines broad diagnostic capabilities with fine-grained explainability and a hybrid training strategy combining supervised and visual reinforcement fine-tuning enables EVLF-FM to generate clinically interpretable explanations aligned with visual...
Yang Bai, Hao-Ran Cheng, Yang Zhou et al.· Nature Medicine· 0 citations
Large language models for medical consultation are often evaluated after a clinical problem has already been made clear, although real consultations may begin with a vague, minimized, or misframed concern. We evaluated three API models across four physician-authored, multi-turn vignettes under baseline and entry-to-car...
Yining Hua, C. Ayubcha, Hongbin Na et al.· 0 citations
Current evidence does not support the use of LLMs for diagnosis, treatment selection, or patient education in AD/MCI without clinician oversight, and are further limited by small heterogeneous evaluations, sparse hallucination measurement, and absence of prospective clinical validation.
Y. Adiniaev, Mahmud Omar, Oved Daniel et al.· Neurological Sciences· 0 citations
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