Artificial intelligence and deep learning in ophthalmology

DSW Ting, LR Pasquale, L Peng… - British Journal of …, 2019 - bjo.bmj.com
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 …

Deep learning in ophthalmology: the technical and clinical considerations

DSW Ting, L Peng, AV Varadarajan, PA Keane… - Progress in retinal and …, 2019 - Elsevier
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) …

[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 …

[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression

AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
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 …

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 …

Advancing glaucoma care: integrating artificial intelligence in diagnosis, management, and progression detection

Y Zhu, R Salowe, C Chow, S Li, O Bastani, JM O'Brien - Bioengineering, 2024 - mdpi.com
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
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 …

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 …

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection

F Li, D Song, H Chen, J **ong, X Li, H Zhong… - NPJ digital …, 2020 - nature.com
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 …

The impact of artificial intelligence in the diagnosis and management of glaucoma

EL Mayro, M Wang, T Elze, LR Pasquale - Eye, 2020 - nature.com
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 …