Deep-learning-based prediction of late age-related macular degeneration progression

• Published in: Nature machine intelligence Vol. 2; no. 2; pp. 141 - 150
• Main Authors: Yan, Qi, Weeks, Daniel E., Xin, Hongyi, Swaroop, Anand, Chew, Emily Y., Huang, Heng, Ding, Ying, Chen, Wei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.02.2020; Nature Publishing Group
• Subjects: 631/114/1305; 631/114/1564; 631/1647/245/2226; 631/208/721; Accuracy; Age; Age related diseases; Artificial neural networks; Automation; Blindness; Cloud computing; Confidence intervals; Deep learning; Diabetic retinopathy; Engineering; Etiology; Eye diseases; Genomes; Health risk assessment; Machine learning; Macular degeneration; Photoreceptors; Risk assessment

Both genetic and environmental factors influence the etiology of age-related macular degeneration (AMD), a leading cause of blindness. AMD severity is primarily measured by images of the fundus of the retina and recently developed machine learning methods can successfully predict AMD progression usi...