Artificial intelligence in retinal disease: clinical application, challenges, and future directions

M Daich Varela, S Sen, TAC De Guimaraes… - Graefe's Archive for …, 2023 - Springer
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …

A view of the current and future role of optical coherence tomography in the management of age-related macular degeneration

U Schmidt-Erfurth, S Klimscha, SM Waldstein… - Eye, 2017 - nature.com
Optical coherence tomography (OCT) has become an established diagnostic technology in
the clinical management of age-related macular degeneration (AMD). OCT is being used for …

Consensus definition for atrophy associated with age-related macular degeneration on OCT: classification of atrophy report 3

SR Sadda, R Guymer, FG Holz, S Schmitz-Valckenberg… - Ophthalmology, 2018 - Elsevier
Purpose To develop consensus terminology and criteria for defining atrophy based on OCT
findings in the setting of age-related macular degeneration (AMD). Design Consensus …

Deep-learning based, automated segmentation of macular edema in optical coherence tomography

CS Lee, AJ Tyring, NP Deruyter, Y Wu… - Biomedical optics …, 2017 - opg.optica.org
Evaluation of clinical images is essential for diagnosis in many specialties. Therefore the
development of computer vision algorithms to help analyze biomedical images will be …

Imaging protocols in clinical studies in advanced age-related macular degeneration: recommendations from classification of atrophy consensus meetings

FG Holz, SVR Sadda, G Staurenghi, M Lindner… - Ophthalmology, 2017 - Elsevier
Purpose To summarize the results of 2 consensus meetings (Classification of Atrophy
Meeting [CAM]) on conventional and advanced imaging modalities used to detect and …

Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external …

G Zhang, DJ Fu, B Liefers, L Faes, S Glinton… - The Lancet Digital …, 2021 - thelancet.com
Background Geographic atrophy is a major vision-threatening manifestation of age-related
macular degeneration, one of the leading causes of blindness globally. Geographic atrophy …

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography

FG Venhuizen, B Van Ginneken, B Liefers… - Biomedical optics …, 2018 - opg.optica.org
We developed a deep learning algorithm for the automatic segmentation and quantification
of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) …

[HTML][HTML] OCT signs of early atrophy in age-related macular degeneration: interreader agreement: classification of atrophy meetings report 6

Z Wu, M Pfau, BA Blodi, FG Holz, GJ Jaffe… - Ophthalmology …, 2022 - Elsevier
Purpose To determine the interreader agreement for incomplete retinal pigment epithelium
(RPE) and outer retinal atrophy (iRORA) and complete RPE and outer retinal atrophy …

Automated detection and classification of early AMD biomarkers using deep learning

S Saha, M Nassisi, M Wang, S Lindenberg… - Scientific reports, 2019 - nature.com
Age-related macular degeneration (AMD) affects millions of people and is a leading cause
of blindness throughout the world. Ideally, affected individuals would be identified at an early …

Clinical endpoints for the study of geographic atrophy secondary to age-related macular degeneration

SVR Sadda, U Chakravarthy, DG Birch, G Staurenghi… - Retina, 2016 - journals.lww.com
Purpose: To summarize the recent literature describing the application of modern
technologies in the study of patients with geographic atrophy (GA) secondary to age-related …