Multimodal LLMs for retinal disease diagnosis via OCT: few-shot versus single-shot learning
Background and aim: Multimodal large language models (LLMs) have shown potential in processing both text and image data for clinical applications. This study evaluated their diagnostic performance in identifying retinal diseases from optical coherence tomography (OCT) images. Methods: We assessed th...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Therapeutic Advances in Ophthalmology |
| Online Access: | https://doi.org/10.1177/25158414251340569 |
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