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 …
Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …
potential value for routine clinical decisions, for inclusion criteria for research studies and …
[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 …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
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) …
The application of artificial intelligence in glaucoma diagnosis and prediction
L Zhang, L Tang, M **a, 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 …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …
recently from healthcare systems. DL has been widely applied to detect and classify major …
Multimodal machine learning using visual fields and peripapillary circular OCT scans in detection of glaucomatous optic neuropathy
Purpose To develop and validate a multimodal artificial intelligence algorithm, FusionNet,
using the pattern deviation probability plots from visual field (VF) reports and circular …
using the pattern deviation probability plots from visual field (VF) reports and circular …