Journal of Medical Case Studies (JMCS)

Review Article

AI Advancements in Diabetic Retinopathy: A Visionary Review of Diagnostic Precision and Therapeutic Insights

Authors: Gujarathi D, Trivedi J and Trivedi D*

DOI: 10.23880/jmcs-16000112

Abstract

The application of artificial intelligence in medicine is a developing field with Potential applications in mass screening and possibly even diagnosis. By constructing intricate associations from incoming data and comparing the results to performance benchmarks, complex computing may recognize patterns. This is a significant advancement. Diabetes-related retinopathy is a growing concern. Retinopathy that poses a risk to vision can be lessened with early detection and prompt treatment. Patients and ophthalmologists will likely benefit from any technology that may facilitate the rapid screening of this illness and reduce the need for skilled human resources for the same. The use of artificial intelligence in diabetic retinopathy is currently being discussed in this review, along with a few other common retinal disorders.

Keywords: Artifical Intelligence; Retinopathy; Technology; Opthamology; Health

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