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] Clinical applications of artificial intelligence in glaucoma
S Yousefi - Journal of Ophthalmic & Vision Research, 2023 - ncbi.nlm.nih.gov
Ophthalmology is one of the major imaging-intensive fields of medicine and thus has
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
The development and clinical application of innovative optical ophthalmic imaging techniques
P Alexopoulos, C Madu, G Wollstein… - Frontiers in …, 2022 - frontiersin.org
The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …
improvements in image processing and computer hardware have allowed the emergence of …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
Policy-driven, multimodal deep learning for predicting visual fields from the optic disc and OCT imaging
Purpose To develop and validate a deep learning (DL) system for predicting each point on
visual fields (VFs) from disc and OCT imaging and derive a structure–function mapping …
visual fields (VFs) from disc and OCT imaging and derive a structure–function mapping …
Deep learning estimation of 10-2 and 24-2 visual field metrics based on thickness maps from macula OCT
Purpose To develop deep learning (DL) systems estimating visual function from macula-
centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology …
centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology …
Artificial intelligence for glaucoma: creating and implementing artificial intelligence for disease detection and progression
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 …
first 2-day virtual workshop on the role of artificial intelligence (AI) and related machine …
Deep learning estimation of 10-2 visual field map based on circumpapillary retinal nerve fiber layer thickness measurements
Purpose To estimate central 10-degree visual field (VF) map from spectral-domain optical
coherence tomography (SD-OCT) retinal nerve fiber layer thickness (RNFL) measurements …
coherence tomography (SD-OCT) retinal nerve fiber layer thickness (RNFL) measurements …
Pointwise visual field estimation from optical coherence tomography in glaucoma using deep learning
Purpose: Standard automated perimetry is the gold standard to monitor visual field (VF) loss
in glaucoma management, but it is prone to intrasubject variability. We trained and validated …
in glaucoma management, but it is prone to intrasubject variability. We trained and validated …
[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 …
has the potential to enhance the ability to detect glaucoma. This premise was discussed at …