Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …
interest in recent years. DL has been widely adopted in image recognition, speech …
Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
[HTML][HTML] Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and
accessibility but FDA, until recently, had never authorized an autonomous AI diagnostic …
accessibility but FDA, until recently, had never authorized an autonomous AI diagnostic …
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with …
Importance A deep learning system (DLS) is a machine learning technology with potential
for screening diabetic retinopathy and related eye diseases. Objective To evaluate the …
for screening diabetic retinopathy and related eye diseases. Objective To evaluate the …
[HTML][HTML] Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
MD Abràmoff, Y Lou, A Erginay… - … & visual science, 2016 - jov.arvojournals.org
Purpose: To compare performance of a deep-learning enhanced algorithm for automated
detection of diabetic retinopathy (DR), to the previously published performance of that …
detection of diabetic retinopathy (DR), to the previously published performance of that …
Convolutional neural network for multi-class classification of diabetic eye disease
Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …
[HTML][HTML] Automated detection of diabetic retinopathy using deep learning
Diabetic retinopathy is a leading cause of blindness among working-age adults. Early
detection of this condition is critical for good prognosis. In this paper, we demonstrate the …
detection of this condition is critical for good prognosis. In this paper, we demonstrate the …
Automated detection of mild and multi-class diabetic eye diseases using deep learning
Diabetic eye disease is a collection of ocular problems that affect patients with diabetes.
Thus, timely screening enhances the chances of timely treatment and prevents permanent …
Thus, timely screening enhances the chances of timely treatment and prevents permanent …
Zoom-in-net: Deep mining lesions for diabetic retinopathy detection
We propose a convolution neural network based algorithm for simultaneously diagnosing
diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds:(1) …
diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds:(1) …
Validation of automated screening for referable diabetic retinopathy with the IDx‐DR device in the Hoorn Diabetes Care System
AA Van Der Heijden, MD Abramoff… - Acta …, 2018 - Wiley Online Library
Purpose To increase the efficiency of retinal image grading, algorithms for automated
grading have been developed, such as the IDx‐DR 2.0 device. We aimed to determine the …
grading have been developed, such as the IDx‐DR 2.0 device. We aimed to determine the …