AI RESEARCH
OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models
arXiv CS.CL
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ArXi:2605.27916v1 Announce Type: cross The advancement of general medical Multimodal Large Language Models (MLLMs) has shown great potential for building conversational assistants to clinical diagnosis. However, their adaptation to highly specialized domains such as ophthalmology remains underexplored, primarily due to the scarcity of large-scale, domain-specific instruction-tuning data.