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This poster introduces the Envision Portal for improving data sharing in ophthalmic imaging, indicating a step toward effective AI model training.
Ophthalmic imaging datasets are a valuable resource for advancing AI/ML models for disease detection, but their reuse is hindered by fragmented sharing and inconsistent structure. In this poster, we introduce the Envision Portal, an open-source platform intended to support the sharing and discovery of FAIR (Findable, Accessible, Interoperable, Reusable) and AI-ready ophthalmic imaging datasets.
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Patel et al. (2026) studied this question.
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