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Matching papers

Can Multimodal Large Language Models Understand OCT?

3 upvotes · 18 JUL 2026 · Baochen Fu, Wenzhi Deng, Baihao Jin et al.

This paper creates a benchmark to evaluate how well large language models can understand images from optical coherence tomography (OCT), a tool used to diagnose retinal diseases. Practitioners in medical imaging and AI might care because it could help improve the accuracy of AI models in diagnosing and treating retinal diseases.

medical image analysismultimodal large language modelsretinal diseasesclinical reasoningimage understanding