Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm.
Journal:
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Published Date:
May 15, 2025
Abstract
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affecting women of a reproductive age. Prompt diagnosis and intervention are vital to prevent vision loss, but validated tools to predict visual outcomes are lacking. The purpose of this study was to create a machine learning algorithm predicting poor visual outcomes at the time that the diagnosis of IIH is established, and stratifying risk among those with and without poor visual acuity at presentation.
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