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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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6 Utilizing human intelligence in artificial intelligence for detecting glaucomatous fundus images using human-in-the-loop machine learning
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7 Commentary: Water, water everywhere; alters eye when you drink
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8 Commentary: Is it time for teleophthalmology, virtual glaucoma clinics and uberization of eye care?
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9 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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10 Commentary: Intravitreal injection of formalin as a life hack for ophthalmic wet lab training
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11 Identification of glaucoma from fundus images using deep learning techniques
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17 Artificial Intelligence in Ophthalmology: Evolutions in Asia
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21 Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead
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