Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support

ArXi:2603.21925v1 Announce Type: new In this work, we propose Oph-Guid-RAG, a multimodal visual RAG system for ophthalmology clinical question answering and decision. We treat each guideline page as an independent evidence unit and directly retrieve page images, preserving tables, flowcharts, and layout information. We further design a controllable retrieval framework with routing and filtering, which selectively