The application of artificial intelligence in glaucoma diagnosis and prediction
L Zhang, L Tang, M Xia, G Cao - Frontiers in cell and developmental …, 2023 - frontiersin.org
Artificial intelligence is a multidisciplinary and collaborative science, the ability of deep
learning for image feature extraction and processing gives it a unique advantage in dealing …
learning for image feature extraction and processing gives it a unique advantage in dealing …
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 …
reshaping glaucoma clinical management, improving screening efficacy, sharpening …
[HTML][HTML] Artifact correction in retinal nerve fiber layer thickness maps using deep learning and its clinical utility in glaucoma
Purpose: Correcting retinal nerve fiber layer thickness (RNFLT) artifacts in glaucoma with
deep learning and evaluate its clinical usefulness. Methods: We included 24,257 patients …
deep learning and evaluate its clinical usefulness. Methods: We included 24,257 patients …
[HTML][HTML] Segmentation-free OCT-volume-based deep learning model improves pointwise visual field sensitivity estimation
Z Chen, E Shemuelian, G Wollstein… - … Vision Science & …, 2023 - iovs.arvojournals.org
Purpose: The structural changes measured by optical coherence tomography (OCT) are
related to functional changes in visual fields (VFs). This study aims to accurately assess the …
related to functional changes in visual fields (VFs). This study aims to accurately assess the …
Application of artificial intelligence in glaucoma care: An updated review
The application of artificial intelligence (AI) in ophthalmology has been increasingly
explored in the past decade. Numerous studies have shown promising results supporting …
explored in the past decade. Numerous studies have shown promising results supporting …
[HTML][HTML] Central visual field in glaucoma: An updated review
Abstract Evaluation of central vision in glaucoma is important due to its impact on patients'
quality of life and activities of daily living such as reading, driving, and walking. The 10-2 …
quality of life and activities of daily living such as reading, driving, and walking. The 10-2 …
Retinal Nerve Fiber Layer Optical Texture Analysis and 10-2 Visual Field Assessment in Glaucoma
Purpose To apply retinal nerve fiber layer (RNFL) optical texture analysis (ROTA) to 1)
investigate the association between papillomacular and papillofoveal bundle defects with 10 …
investigate the association between papillomacular and papillofoveal bundle defects with 10 …
[HTML][HTML] Deep-Learning-Based Group Pointwise Spatial Mapping of Structure to Function in Glaucoma
Z Chen, H Ishikawa, Y Wang, G Wollstein… - Ophthalmology …, 2024 - Elsevier
Purpose To establish generalizable pointwise spatial relationship between structure and
function through occlusion analysis of a deep-learning (DL) model for predicting the visual …
function through occlusion analysis of a deep-learning (DL) model for predicting the visual …
[HTML][HTML] Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data
Purpose: To predict 10-2 Humphrey visual fields (VFs) from 24-2 VFs and associated non-
total deviation features using deep learning. Methods: We included 5189 reliable 24-2 and …
total deviation features using deep learning. Methods: We included 5189 reliable 24-2 and …
Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements
Purpose To develop deep learning (DL) models estimating the central visual field (VF) from
optical coherence tomography angiography (OCTA) vessel density (VD) measurements …
optical coherence tomography angiography (OCTA) vessel density (VD) measurements …