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In-Context Learning for Data-Efficient Diabetic Retinopathy Detection via Multimodal Foundation Models

Objective: This study aims to evaluate whether in-context learning (ICL), a prompt-based learning mechanism enabling multimodal foundation models to rapidly adapt to new tasks without retraining or large annotated datasets, can achieve comparable diagnostic performance to domain-specific foundation...

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Principais autores: Murat S. Ayhan, PhD, Ariel Y. Ong, MD, Eden Ruffell, Siegfried K. Wagner, MD, PhD, David A. Merle, MD, Pearse A. Keane, MD
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-01-01
Serier:Ophthalmology Science
Fag:
AI
Artificial intelligence
Diabetic retinopathy
Large language model
LLM
Online adgang:http://www.sciencedirect.com/science/article/pii/S2666914525002325
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