EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis

Understand

Early detection of eye diseases like glaucoma, macular degeneration, and diabetic retinopathy is crucial for preventing vision loss.

• While artificial intelligence (AI) foundation models hold significant promise for addressing these challenges, existing ophthalmic foundation models primarily focus on a single modality, whereas diagnosing eye diseases requires multiple modalities.
• A critical yet often overlooked aspect is harnessing the multi-view information across various modalities for the same patient.
• Additionally, due to the long-tail nature of ophthalmic diseases, standard fully supervised or unsupervised learning approaches often struggle.