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Cheng-Zhi Xia

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Preprint Sep 2026

A visual large language foundational model for medical image recognition using clinician-contributed online resources

Large language models (LLMs) have demonstrated strong capabilities across diverse domains, showing considerable potential in medicine. However, their application in medical settings remains limited by the scarcity of visual question answering (VQA) datasets that capture clinical reasoning and explicit image-text alignm...

Ling-Xuan Hou, Yu-Hua Xie, Yue Hu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

A visual large language foundational model for medical image recognition using clinician-oriented social media

A FOundational LLM Trained on ThoughtMed-1M (FOLTMed), a scalable paradigm for advancing research on clinically grounded multimodal LLMs, achieved state-of-the-art performance across 42 medical VQA benchmark datasets, with a macro accuracy of 85.4%, and generated more clinically coherent responses on the ThoughtMed-1M...

Ling-Xuan Hou, Yu-Hua Xie, Yue Hu et al. · 0 citations