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cs.CV2025
Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification
Yupeng Zhang, Adam G. Dunn, Usman Naseem +1
Medical artificial intelligence (AI) systems, particularly multimodal vision-language models (VLM), often exhibit intersectional biases where models are systematically less confide…
cs.CV2025
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets
Yongpei Ma, Pengyu Wang, Adam Dunn +2
Medical Visual Question Answering (MVQA) systems can interpret medical images in response to natural language queries. However, linguistic variability in question phrasing often un…