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We investigated whether a deep learning algorithm applied to retinal fundoscopic images could predict cerebral white matter hyperintensity (WMH), as represented by a modified Fazekas scale (FS), on brain magnetic resonance imaging (MRI).

Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning