[HTML][HTML] Endpoints for clinical trials in ophthalmology

L Schmetterer, H Scholl, G Garhöfer… - Progress in Retinal and …, 2023 - Elsevier
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …

Artificial intelligence and glaucoma: going back to basics

SA AlRyalat, P Singh, J Kalpathy-Cramer… - Clinical …, 2023 - Taylor & Francis
There has been a recent surge in the number of publications centered on the use of artificial
intelligence (AI) to diagnose various systemic diseases. The Food and Drug Administration …

[HTML][HTML] Deep-learning–aided diagnosis of diabetic retinopathy, age-related macular degeneration, and glaucoma based on structural and angiographic OCT

P Zang, TT Hormel, TS Hwang, ST Bailey… - Ophthalmology …, 2023 - Elsevier
Purpose Timely diagnosis of eye diseases is paramount to obtaining the best treatment
outcomes. OCT and OCT angiography (OCTA) have several advantages that lend …

Artificial intelligence for glaucoma: creating and implementing artificial intelligence for disease detection and progression

LA Al-Aswad, R Ramachandran, JS Schuman… - Ophthalmology …, 2022 - Elsevier
On September 3, 2020, the Collaborative Community on Ophthalmic Imaging conducted its
first 2-day virtual workshop on the role of artificial intelligence (AI) and related machine …

Urine specific gravity, pyuria, and neutrophil gelatinase-associated lipocalin for identifying urinary tract infection in young children

DY Kim, HE Yim, MH Son, KH Yoo - Pediatric Nephrology, 2023 - Springer
Background To determine whether urine neutrophil gelatinase-associated lipocalin (uNGAL)
might be superior to pyuria for detecting urinary tract infection (UTI) regardless of urine …

[HTML][HTML] A case for the use of artificial intelligence in glaucoma assessment

JS Schuman, MDLAR Cadena, R McGee… - Ophthalmology …, 2022 - Elsevier
We hypothesize that artificial intelligence (AI) applied to relevant clinical testing in glaucoma
has the potential to enhance the ability to detect glaucoma. This premise was discussed at …

Artificial intelligence at the national eye institute

NA Sherif, EY Chew, MF Chiang, M Hribar… - Current opinion in …, 2022 - journals.lww.com
The NIH/NEI has supported the development artificial intelligence-based innovations to
advance biomedical research. The NIH/NEI has defined activities to achieve these goals in …

The Definition of Glaucomatous Optic Neuropathy in Artificial Intelligence Research and Clinical Applications

FA Medeiros, T Lee, AA Jammal, LA Al-Aswad… - Ophthalmology …, 2023 - Elsevier
Objective Although artificial intelligence (AI) models may offer innovative and powerful ways
to use the wealth of data generated by diagnostic tools, there are important challenges …

Evaluation of an offline, artificial intelligence system for referable glaucoma screening using a smartphone-based fundus camera: a prospective study

DP Rao, S Shroff, FM Savoy, CK Hsu, K Negiloni… - Eye, 2024 - nature.com
Abstract Background/Objectives An affordable and scalable screening model is critical for
undetected glaucoma. The study evaluated the performance of an offline, smartphone …

Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging

AC Thompson, A Falconi… - Frontiers in …, 2022 - frontiersin.org
Glaucoma is a leading cause of progressive blindness and visual impairment worldwide.
Microstructural evidence of glaucomatous damage to the optic nerve head and associated …