Optometry Advisor

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.

AI outperforms human experts in detecting glaucoma

Artificial intelligence (AI) might be able to help doctors make glaucoma screening widely available, a new study says.
Ophthalmology Times

Ophthalmic innovation by the decades: The 2010s

From the 2010s to the present, the existing technologies in the clinic and operating room have been improved with the goals ...
C&EN

Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

Department of Chemistry, Faculty of Science, University of Helsinki, P.O. Box 55 (A.I. Virtanens plats 1), Helsinki FIN-00014, Finland ...
IEEE

Comprehensive Analysis of Glaucoma Detection using Machine Learning and Deep Learning

Abstract: Glaucoma is an insidious and progressive eye condition that finally end up causing blindness in the patient. Traditional methods of screening are conspicuous for their dependence on the ...
Frontiers

Multi-center evaluation of machine and deep learning methods to predict glaucoma surgical outcomes

Byers Eye Institute, Department of Ophthalmology, Stanford University, Stanford, United States The final, formatted version of the article will be published soon. Purpose: To develop machine learning ...
IEEE

Improved Classification of Retinal Disease: An Ensemble Deep Learning Approach for Diabetic Retinopathy, Glaucoma, and Cataracts

Abstract: Diabetic retinopathy, glaucoma, and cataracts are some of the most structurally significant, complicated, and common eye diseases in ophthalmology. This makes accurate and efficient ...