Artificial Intelligence to Predict Optic Neuritis Subtypes from Ocular Fundus Photographs

Optic neuritis (ON) is a complex clinical syndrome that has diverse etiologies and treatments based on its subtypes. Notably, ON associated with MS has a good prognosis for visual recovery, whereas ON associated with other conditions including Neuromyelitis Optica Spectrum Disorder (NMOSD) and Myelin Oligodendrocyte Glycoprotein IgG associated disorder (MOGAD) is often associated with less favourable outcomes. Distinguishing MS ON from other ON subtypes is critical to guiding appropriate management. Herein we introduce a deep learning artificial intelligence (AI) algorithm to predict ON subtype based on fundus photographs.