Article

Benchmark Evaluation of Multi-Modal Large Language Models for Ophthalmic Diagnosis

2025-07-23

Abstract excerpt

<title>Abstract</title> <p>Multi-modal large language models (MLLMs) are increasingly demonstrating significant potential in medical applications, particularly in image-intensive fields such as ophthalmology. While state-of-the-art models like ChatGPT-4o and Qwen-VL 2.5 exhibit impressive performance in general-domain tasks, there remains a lack of real-world clinical benchmark datasets to rigorously evaluate the...

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Literature Corpus work: 910e2981-a8ff-58e7-9281-3b01e1c5edd2
DOI: 10.21203/rs.3.rs-7186903/v1

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