EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging

Understand

Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA).

• However, existing AI models in this domain often require extensive annotation and are task-specific, limiting their clinical utility.
• While recent developments have brought about foundation models for ophthalmology, they are limited by the need to train separate weights for each imaging modality, preventing a comprehensive representation of multi-modal features.
• This highlights the need for versatile foundation models capable of handling various tasks and modalities in ophthalmology.