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Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …
interest in recent years. DL has been widely adopted in image recognition, speech …
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) …
[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 …
[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 …
Clinical applications of artificial intelligence in glaucoma
S Yousefi - Journal of ophthalmic & vision research, 2023 - pmc.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 …
Advancing glaucoma care: integrating artificial intelligence in diagnosis, management, and progression detection
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …
Adaptive responses to neurodegenerative stress in glaucoma
DJ Calkins - Progress in retinal and eye research, 2021 - Elsevier
Glaucoma causes loss of vision through degeneration of the retinal ganglion cell (RGC)
projection to the brain. The disease is characterized by sensitivity to intraocular pressure …
projection to the brain. The disease is characterized by sensitivity to intraocular pressure …
Artificial intelligence algorithms to diagnose glaucoma and detect glaucoma progression: translation to clinical practice
AS Mursch-Edlmayr, WS Ng… - … vision science & …, 2020 - tvst.arvojournals.org
Purpose: This concise review aims to explore the potential for the clinical implementation of
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
Abstract By 2040,~ 100 million people will have glaucoma. To date, there are a lack of high-
efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and …
efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and …
The impact of artificial intelligence in the diagnosis and management of glaucoma
Deep learning (DL) is a subset of artificial intelligence (AI), which uses multilayer neural
networks modelled after the mammalian visual cortex capable of synthesizing images in …
networks modelled after the mammalian visual cortex capable of synthesizing images in …