EC Ophthalmology

In this era of technology, the integration of computers into the daily life activities of an average human is inevitable. This is largely attributed to the advancement of artificial intelligence (AI). It is a boon for the healthcare sector where it has widespread applications. It provides us with a basic necessity called data among other things. Ophthalmology too has evolved leaps and bounds largely due to improved data collection and analysis. The development of algorithms further helps to perform complicated tasks with ease. In glaucoma, intraocular pressure monitoring to the Optic nerve head and retinal nerve fiber layer analysis is reliant on AI analysis and reporting. The same is the case with diabetic retinopathy and the need for Anti-vascular endothelial growth factors (VEGF) treatment. Hence, to keep up with recent times, up-to-date information regarding AI is vital.

 Keywords: Diabetic Retinopathy; Glaucoma; Machine Learning; Deep Learning; Artificial Intelligence

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