Preprint
Oct 2026
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...
Ronald Fecso, José Morano, Botond Fazekas et al.
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