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Evo-RAD achieves a groundbreaking +21.04% improvement in diagnosing rare retinal diseases by dynamically refining evidence retrieval, challenging the limitations of static models.
Medical-specific vision-language models surprisingly underutilize visual information in Japanese medical licensing exams, often performing well even when images are removed, highlighting a critical gap in their multimodal reasoning capabilities.
