Glaucoma in adults—screening, diagnosis, and management: a review

JD Stein, AP Khawaja, JS Weizer - Jama, 2021 - jamanetwork.com
Importance Glaucoma is the most common cause of irreversible blindness worldwide. Many
patients with glaucoma are asymptomatic early in the disease course. Primary care …

[HTML][HTML] The impact of artificial intelligence and deep learning in eye diseases: a review

R Nuzzi, G Boscia, P Marolo, F Ricardi - Frontiers in Medicine, 2021 - frontiersin.org
Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …

Personalising surgical treatments for glaucoma patients

GS Megevand, AM Bron - Progress in Retinal and Eye Research, 2021 - Elsevier
Surgical treatments for glaucoma have relied for decades on traditional filtering surgery such
as trabeculectomy and, in more challenging cases, tubes. Antifibrotics were introduced to …

Special commentary: using clinical decision support systems to bring predictive models to the glaucoma clinic

BC Stagg, JD Stein, FA Medeiros, B Wirostko… - Ophthalmology …, 2021 - Elsevier
Advances in the field of predictive modeling using artificial intelligence and machine
learning have the potential to improve clinical care and outcomes, but only if the results of …

[HTML][HTML] Actions are needed to develop artificial intelligence for glaucoma diagnosis and treatment

TK Yoo - Journal of Medical Artificial Intelligence, 2023 - jmai.amegroups.org
Actions are needed to develop artificial intelligence for glaucoma diagnosis and treatment -
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[HTML][HTML] Use of artificial intelligence in forecasting glaucoma progression

S Thakur, L Le Dinh, R Lavanya, Y Liu… - Taiwan Journal of …, 2023 - journals.lww.com
Artificial intelligence (AI) has been widely used in ophthalmology for disease detection and
monitoring progression. For glaucoma research, AI has been used to understand …

Artificial intelligence and complex statistical modeling in glaucoma diagnosis and management

H Salazar, V Misra… - Current opinion in …, 2021 - journals.lww.com
Rapidly emerging artificial intelligence algorithms have been used for the detection and
management of glaucoma. These algorithms may aid the clinician in caring for patients with …

Predicting rapid progression phases in glaucoma using a soft voting ensemble classifier exploiting Kalman filtering

IA Jones, MP Van Oyen, MS Lavieri… - Health Care …, 2021 - Springer
In managing patients with chronic diseases, such as open angle glaucoma (OAG), the case
treated in this paper, medical tests capture the disease phase (eg regression, stability …

The role of artificial intelligence in the diagnosis and management of glaucoma

SM Ittoop, N Jaccard, G Lanouette… - Journal of …, 2022 - journals.lww.com
Glaucomatous optic neuropathy is the leading cause of irreversible blindness worldwide.
Diagnosis and monitoring of disease involves integrating information from the clinical …

A multi-label transformer-based deep learning approach to predict focal visual field progression

L Chen, VS Tseng, TH Tsung, DW Lu - Graefe's Archive for Clinical and …, 2024 - Springer
Purpose Tracking functional changes in visual fields (VFs) through standard automated
perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop …