Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Optical coherence tomography and glaucoma
A Geevarghese, G Wollstein, H Ishikawa… - Annual review of …, 2021 - annualreviews.org
Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
Using deep learning and transfer learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images
R Asaoka, H Murata, K Hirasawa, Y Fu**o… - American journal of …, 2019 - Elsevier
Purpose We sought to construct and evaluate a deep learning (DL) model to diagnose early
glaucoma from spectral-domain optical coherence tomography (OCT) images. Design …
glaucoma from spectral-domain optical coherence tomography (OCT) images. Design …
Projection-resolved optical coherence tomography angiography of macular retinal circulation in glaucoma
Purpose To detect macular perfusion defects in glaucoma using projection-resolved optical
coherence tomography (OCT) angiography. Design Prospective observation study …
coherence tomography (OCT) angiography. Design Prospective observation study …
[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …
deep learning has risen to the forefront of artificial intelligence, with performances that often …
Glaucoma diagnostic accuracy of ganglion cell–inner plexiform layer thickness: comparison with nerve fiber layer and optic nerve head
JC Mwanza, MK Durbin, DL Budenz, FE Sayyad… - Ophthalmology, 2012 - Elsevier
PURPOSE: To determine the diagnostic performance of macular ganglion cell–inner
plexiform layer (GCIPL) thickness measured with the Cirrus high-definition optical …
plexiform layer (GCIPL) thickness measured with the Cirrus high-definition optical …
[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
K **, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …
in medicine. The availability of digitized ocular images and substantial data have made …
Glaucoma diagnosis using multi-feature analysis and a deep learning technique
In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …
Glaucoma management in the era of artificial intelligence
Glaucoma is a result of irreversible damage to the retinal ganglion cells. While an early
intervention could minimise the risk of vision loss in glaucoma, its asymptomatic nature …
intervention could minimise the risk of vision loss in glaucoma, its asymptomatic nature …
Diagnostic tools for glaucoma detection and management
P Sharma, PA Sample, LM Zangwill… - Survey of ophthalmology, 2008 - Elsevier
Early diagnosis of glaucoma is critical to prevent permanent structural damage and
irreversible vision loss. Detection of glaucoma typically relies on examination of structural …
irreversible vision loss. Detection of glaucoma typically relies on examination of structural …