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Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs.

Caroline VasseneixRaymond P NajjarXinxing XuZhiqun TangJing Liang LooShweta SinghalSharon TowLeonard MileaDaniel Shu Wei TingYong LiuTien Yin WongNancy J NewmanValerie BiousseDan Mileanull null
Published in: Neurology (2021)
This study provides Class II evidence that a DLS using mydriatic retinal fundus photographs accurately classified the severity of papilledema associated in patients with a diagnosis of increased intracranial pressure.
Keyphrases
  • deep learning
  • diabetic retinopathy
  • optic nerve
  • machine learning
  • optical coherence tomography
  • artificial intelligence