Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …
[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression
AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …
deep learning has risen to the forefront of artificial intelligence, with performances that often …
A generalizable deep learning regression model for automated glaucoma screening from fundus images
A plethora of classification models for the detection of glaucoma from fundus images have
been proposed in recent years. Often trained with data from a single glaucoma clinic, they …
been proposed in recent years. Often trained with data from a single glaucoma clinic, they …
Detection of progressive glaucomatous optic nerve damage on fundus photographs with deep learning
Purpose To investigate whether predictions of retinal nerve fiber layer (RNFL) thickness
obtained from a deep learning model applied to fundus photographs can detect progressive …
obtained from a deep learning model applied to fundus photographs can detect progressive …
Discovery and clinical translation of novel glaucoma biomarkers
Glaucoma and other optic neuropathies are characterized by progressive dysfunction and
loss of retinal ganglion cells and their axons. Given the high prevalence of glaucoma-related …
loss of retinal ganglion cells and their axons. Given the high prevalence of glaucoma-related …
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
Abstract By 2040,~ 100 million people will have glaucoma. To date, there are a lack of high-
efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and …
efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and …
Artificial intelligence algorithms to diagnose glaucoma and detect glaucoma progression: translation to clinical practice
AS Mursch-Edlmayr, WS Ng… - … vision science & …, 2020 - tvst.arvojournals.org
Purpose: This concise review aims to explore the potential for the clinical implementation of
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …
Deep learning image analysis of optical coherence tomography angiography measured vessel density improves classification of healthy and glaucoma eyes
Purpose To compare convolutional neural network (CNN) analysis of en face vessel density
images to gradient boosting classifier (GBC) analysis of instrument-provided, feature-based …
images to gradient boosting classifier (GBC) analysis of instrument-provided, feature-based …
Artificial intelligence and machine learning in ophthalmology: A review
O Srivastava, M Tennant, P Grewal… - Indian Journal of …, 2023 - journals.lww.com
Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
Artificial intelligence in ophthalmology in 2020: a technology on the cusp for translation and implementation
DV Gunasekeran, TY Wong - The Asia-Pacific Journal of …, 2020 - journals.lww.com
W ith aging populations, health systems worldwide are struggling to provide adequate eye
care at the population level, giving rise to projections of increasing levels of visual …
care at the population level, giving rise to projections of increasing levels of visual …