Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

Geographic atrophy (GA) is a vision-threatening manifestation of age-related macular degeneration (AMD), one of the leading causes of blindness globally. Objective, rapid, reliable, and scalable quantification of GA from optical coherence tomography (OCT) retinal scans is necessary for disease monit...

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Bibliographic Details
Published in:	Scientific reports Vol. 12; no. 1; p. 15565
Main Authors:	Balaskas, Konstantinos, Glinton, S., Keenan, T. D. L., Faes, L., Liefers, B., Zhang, G., Pontikos, N., Struyven, R., Wagner, S. K., McKeown, A., Patel, P. J., Keane, P. A., Fu, D. J.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 16-09-2022 Nature Publishing Group Nature Portfolio
Subjects:	639/705/117 639/705/794 692/53/2423 692/700/1421 Acuity Age Atrophy Automation Biomarkers Cross-Sectional Studies Diabetes mellitus Diabetic retinopathy Epithelium Geographic Atrophy - diagnostic imaging Humanities and Social Sciences Humans Learning algorithms Machine Learning Macular degeneration multidisciplinary Patients Prediction models Retina Retinal degeneration Retinal pigment epithelium Retinopathy Science Science (multidisciplinary) Segmentation Structure-function relationships Tomography Tomography, Optical Coherence - methods Visual discrimination learning Visual perception
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