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Understanding Papilledema Through the Lens of Machine Learning

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Mount Sinai researchers set up an artificial neural network to assign a Frisén grade to fundus photographs of eyes with papilledema. Perfecting this model could yield information critical to clinicians in the diagnosis, treatment, and management of not just papilledema, but possibly other non-glaucomatous optic nerve problems.

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