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    Article Cited by others


Role of artificial intelligence and machine learning in ophthalmology

Akkara John Davis, Kuriakose Anju

Year : 2019| Volume: 31| Issue : 2 | Page no: 150-160

   This article has been cited by
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2 Can deep learning revolutionize clinical understanding and diagnosis of optic neuropathy?
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3 A study on the use of Edge TPUs for eye fundus image segmentation
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4 Commentary: Is it time for teleophthalmology, virtual glaucoma clinics and uberization of eye care?
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5 Use of predictive models to identify patients who are likely to benefit from refraction at a follow-up visit after cataract surgery
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6 Identification of glaucoma from fundus images using deep learning techniques
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7 Smartphone microscope in eye clinic to visualize fungus and Demodex
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8 A Review of Current Applications of Artificial Intelligence and Machine Learning in Medical Science
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9 Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead
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10 Artificial Intelligence in Ophthalmology: Evolutions in Asia
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13 Commentary: Artificial intelligence for everything: Can we trust it?
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