Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs:
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs: This study assesses the sensitivity and specificity of an algorithm based on deep machine learning for automated detection of diabetic retinopathy and diabetic macular edema in...
Source: jamanetwork.com
Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia Edited by David G. Fairchild, MD, MPH, and
Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia
Edited by David G. Fairchild, MD, MPH, and Lorenzo Di Francesco, MD, FACP, FHM
A computer algorithm, based on "deep machine learning," evaluated retinal fundus photographs for … NEJM Journal Watch.
Source: jwatch.org
Anti-VEGF Pharmacotherapy as an Alternative to Panretinal Laser Photocoagulation for Proliferative Diabetic Retinopathy:
Anti-VEGF Pharmacotherapy as an Alternative to Panretinal Laser Photocoagulation for Proliferative Diabetic Retinopathy: From 1976 to 1981, the results of the Diabetic Retinopathy Study identified that panretinal laser photocoagulation (PRP) for high-risk proliferative diabetic retinopathy (PDR) reduced...
Source: jamanetwork.com
Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy: A Randomized Clinical Trial:
Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy: A Randomized Clinical Trial: This randomized trial reports that in patients with proliferative diabetic retinopathy, ranibizumab treatment resulted in visual acuity that was noninferior to panretinal photocoagulation...
Source: jamanetwork.com
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