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] 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 …

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 …

[HTML][HTML] The impact of artificial intelligence and deep learning in eye diseases: a review

R Nuzzi, G Boscia, P Marolo, F Ricardi - Frontiers in Medicine, 2021 - frontiersin.org
Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …

[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives

K Jin, 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 …

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

F Li, D Song, H Chen, J Xiong, 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 …

An artificial intelligence approach to detect visual field progression in glaucoma based on spatial pattern analysis

M Wang, LQ Shen, LR Pasquale… - … & visual science, 2019 - iovs.arvojournals.org
Methods: We selected 12,217 eyes from 7360 patients with at least five reliable 24-2 VFs
and 5 years of follow-up with an interval of at least 6 months. VFs were decomposed into 16 …

Artificial intelligence in glaucoma

C Zheng, TV Johnson, A Garg… - Current opinion in …, 2019 - journals.lww.com
Artificial intelligence has the potential to revolutionize the screening, diagnosis, and
classification of glaucoma, both through the automated processing of large data sets, and by …

[HTML][HTML] Artificial intelligence algorithms to diagnose glaucoma and detect glaucoma progression: translation to clinical practice

AS Mursch-Edlmayr, WS Ng… - … vision science & …, 2020 - iovs.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 …