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Global RETFound aims to build a diverse AI model for ophthalmology.
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Over 100 study groups in 65 countries collaborate on this initiative.
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The model is trained on 100 million+ anonymized eye images.
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Privacy is maintained through synthetic data generation methods.
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Global RETFound seeks to address health inequities in AI research.
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Accessible tools will be provided for resource-limited users.
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The foundation model may help detect systemic diseases like stroke and heart issues.
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Open access under a Creative Commons license will promote research.
