Toward Multimodal Conversational AI for Age-Related Macular Degeneration

ArXi:2604.25720v1 Announce Type: cross Despite strong performance of deep learning models in retinal disease detection, most systems produce static predictions without clinical reasoning or interactive explanation. Recent advances in multimodal large language models (MLLMs) integrate diagnostic predictions with clinically meaningful dialogue to clinical decision-making and patient counseling.