Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.
Journal:
Ophthalmology. Retina
PMID:
33516917
Abstract
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-vascular endothelial growth factor (VEGF) therapy.
Authors
Keywords
Aged
Aged, 80 and over
Angiogenesis Inhibitors
Cross-Sectional Studies
Deep Learning
Female
Follow-Up Studies
Humans
Intravitreal Injections
Male
Middle Aged
Prognosis
Ranibizumab
Retrospective Studies
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Visual Acuity
Wet Macular Degeneration