Article

In-context learning for data-efficient classification of diabetic retinopathy with multimodal foundation models

2025-03-10

Abstract excerpt

<h4>Importance</h4> In-context learning, a prompt-based learning mechanism that enables multimodal foundation models to adapt to new tasks, can eliminate the need for retraining or large annotated datasets. We use diabetic retinopathy detection as an exemplar to probe in-context learning for ophthalmology. <h4>Objective</h4> To evaluate whether in-context learning using a multimodal foundation model (Google Gemi...

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Literature Corpus work: abc86c06-9e88-53d9-9d4f-4036f395affa
DOI: 10.1101/2025.03.09.25323618

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