Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology.

The British Journal of Ophthalmology
Darren S J TingDaniel Shu Wei Ting

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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Citations

Nov 25, 2020·Indian Journal of Ophthalmology·Chaitra Jayadev, Rohit Shetty
Mar 14, 2021·The British Journal of Ophthalmology·Li Lian FooDaniel S Ting
May 15, 2021·American Journal of Ophthalmology·Darren Shu Jeng TingHarminder S Dua
Jun 5, 2021·Journal of AAPOS : the Official Publication of the American Association for Pediatric Ophthalmology and Strabismus·Nita G ValikodathR V Paul Chan
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Jul 9, 2021·Journal of Medical Internet Research·Ali Q SaeedAhmad Tarmizi Abdul Ghani
Aug 12, 2021·São Paulo Medical Journal = Revista Paulista De Medicina·Thiago Gonçalves Dos Santos MartinsPaulo Schor
Aug 17, 2021·Current Opinion in Ophthalmology·Kapil Mishra, Theodore Leng

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