1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026
A Visual Grounding Benchmark for Retinal OCT with Multimodal Large Language Models
Ronald Fecso, José Morano, Botond Fazekas +6
Multimodal large language models (MLLMs) can answer clinical questions about medical images, but trustworthy use requires visual grounding: models should localize the pathology the…
cs.AI2026★ 1 cited
Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation
Ting Fang Tan, Kabilan Elangovan, Andreas Pollreisz +13
Domain specific large language models are increasingly used to support patient education, triage, and clinical decision making in ophthalmology, making rigorous evaluation essentia…