Ronald Fecso

A Visual Grounding Benchmark for Retinal OCT with Multimodal Large Language Models

Multimodal large language models (MLLMs) can answer clinical questions about medical images, but trustworthy use requires visual grounding: models should localize the pathology they report rather than rely on spurious shortcuts. Whether MLLMs can visually ground clinical findings in retinal optical coherence tomography...