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Kai-Chen Zhou

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#artificial intelligence Preprint Sep 2026

Representation-guided in-context learning for medical image interpretation with multimodal large language models

Medical image interpretation is central to diagnosis and care, yet adapting general-purpose multimodal large language models (MLLMs) often requires resource-intensive domain-specific fine-tuning. Here we introduce representation-guided in-context learning (RG-ICL), a training-free inference framework that retrieves que...

Min-Da Zhao, Fang-Yu Hu, Yan Luo et al. · 0 citations
Open access Jul 2026

Learning Ophthalmologist Clinical Reasoning for Glaucoma Diagnosis from Fundus Images

A reasoning-driven vision-language framework that explicitly models the ophthalmologist's diagnostic workflow by generating structured clinical reasoning prior to diagnosis is developed, demonstrating that explicitly modeling expert clinical reasoning simultaneously improves interpretability and diagnostic performance.

Kai-Chen Zhou, Yuzhen Chen, Elif Yildiz et al. · 0 citations

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