Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

Darren Shu Jeng Ting; Valencia HX Foo; Lily Wei Yun Yang; Josh Tjunrong Sia; Marcus Ang; Haotian Lin; James Chodosh; Jodhbir S Mehta; Daniel Shu Wei Ting

doi:10.1136/bjophthalmol-2019-315651

journal article Jun 12, 2020

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

Darren Shu Jeng Ting Valencia HX Foo Lily Wei Yun Yang Josh Tjunrong Sia Marcus Ang

Haotian Lin

James Chodosh

Jodhbir S Mehta

Daniel Shu Wei Ting

British Journal of Ophthalmology Vol. 105 No. 2 pp. 158-168 · BMJ

View at Publisher Save 10.1136/bjophthalmol-2019-315651

Abstract

With the advancement of computational power, refinement of learning algorithms and architectures, and availability of big data, artificial intelligence (AI) technology, particularly with machine learning and deep learning, is paving the way for ‘intelligent’ healthcare systems. AI-related research in ophthalmology previously focused on the screening and diagnosis of posterior segment diseases, particularly diabetic retinopathy, age-related macular degeneration and glaucoma. There is now emerging evidence demonstrating the application of AI to the diagnosis and management of a variety of anterior segment conditions. In this review, we provide an overview of AI applications to the anterior segment addressing keratoconus, infectious keratitis, refractive surgery, corneal transplant, adult and paediatric cataracts, angle-closure glaucoma and iris tumour, and highlight important clinical considerations for adoption of AI technologies, potential integration with telemedicine and future directions.

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Details

Published: Jun 12, 2020
Vol/Issue: 105(2)
Pages: 158-168

Authors

Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China; Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, Hainan, China; Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Institute for Frontier Interdisciplinary Research in Health Sciences and Technology, Sun Yat-sen University, Guangzhou, China

J

James Chodosh

Department of Ophthalmology, Dean A. McGee Eye Institute, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104

Cite This Article

Darren Shu Jeng Ting, Valencia HX Foo, Lily Wei Yun Yang, et al. (2020). Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology. British Journal of Ophthalmology, 105(2), 158-168. https://doi.org/10.1136/bjophthalmol-2019-315651

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

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