The AI revolution in glaucoma: bridging challenges with opportunities

F Li, D Wang, Z Yang, Y Zhang, J Jiang, X Liu… - Progress in Retinal and …, 2024 - Elsevier
Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …

Applications of artificial intelligence and deep learning in glaucoma

D Chen, EA Ran, TF Tan… - The Asia-Pacific …, 2023 - journals.lww.com
Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …

Ensemble deep learning for diabetic retinopathy detection using optical coherence tomography angiography

M Heisler, S Karst, J Lo, Z Mammo, T Yu… - … Vision Science & …, 2020 - tvst.arvojournals.org
Purpose: To evaluate the role of ensemble learning techniques with deep learning in
classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) …

Artificial intelligence mapping of structure to function in glaucoma

EB Mariottoni, S Datta, D Dov… - … vision science & …, 2020 - tvst.arvojournals.org
Purpose: To develop an artificial intelligence (AI)–based structure-function (SF) map relating
retinal nerve fiber layer (RNFL) damage on spectral domain optical coherence tomography …

Quantification of retinal nerve fibre layer thickness on optical coherence tomography with a deep learning segmentation-free approach

EB Mariottoni, AA Jammal, CN Urata, SI Berchuck… - Scientific reports, 2020 - nature.com
This study describes a segmentation-free deep learning (DL) algorithm for measuring retinal
nerve fibre layer (RNFL) thickness on spectral-domain optical coherence tomography …

Measurement of retinal nerve fiber layer thickness with a deep learning algorithm in ischemic optic neuropathy and optic neuritis

G Razaghi, E Hedayati, M Hejazi, R Kafieh… - Scientific Reports, 2022 - nature.com
This work aims at determining the ability of a deep learning (DL) algorithm to measure
retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans …

Treatment outcomes comparing the Paul and baerveldt glaucoma implants after one year of follow-up

S Berteloot, RC Barão, LA Pinto… - Journal of …, 2024 - journals.lww.com
Objective: This review article examines the strengths and limitations of OCT and optic disc
photography in glaucoma screening. Methods: A comprehensive literature review was …

Prediction of cardiovascular parameters with supervised machine learning from singapore “I” vessel assessment and OCT-angiography: a pilot study

L Arnould, C Guenancia, A Bourredjem… - … vision science & …, 2021 - tvst.arvojournals.org
Purpose: Assessment of cardiovascular risk is the keystone of prevention in cardiovascular
disease. The objective of this pilot study was to estimate the cardiovascular risk score …

Dual-input convolutional neural network for glaucoma diagnosis using spectral-domain optical coherence tomography

S Sun, A Ha, YK Kim, BW Yoo, HC Kim… - British Journal of …, 2021 - bjo.bmj.com
Background/Aims To evaluate, with spectral-domain optical coherence tomography (SD-
OCT), the glaucoma-diagnostic ability of a deep-learning classifier. Methods A total of 777 …

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 …