Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities.

Caroline VasseneixSimon NusinoviciXinxing XuJeong-Min HwangSteffen HamannJohn J ChenJing Liang LooLeonard MileaKenneth B K TanDaniel S W TingYong LiuNancy J NewmanValerie BiousseTien Ying WongDan MileaRaymond P Najjarnull null

Published in: Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society (2023)

The performance of the BONSAI-DLS to classify optic discs on fundus photographs was superior to that of clinicians with or without ophthalmic training. A trained DLS may offer valuable diagnostic aid to clinicians from various clinical settings for the screening of optic disc abnormalities harboring potentially sight- or life-threatening neurological conditions.

Keyphrases

optical coherence tomography
palliative care
deep learning
optic nerve
diabetic retinopathy
machine learning
convolutional neural network
resistance training
brain injury
high intensity