Diabetic Retinopathy: A Growing Concern

Diabetic Retinopathy is on the Rise

Diabetes is a ticking time bomb, and one of its most devastating consequences is diabetic retinopathy; a leading cause of blindness worldwide.

Diabetic retinopathy is a growing concern, especially in countries like India, where 70 million people live with diabetes, and 18% of them already have the ailment. The disease creates lesions in the back of the retina, leading to total blindness if left untreated.

With 415 million diabetics at risk of blindness worldwide, the disease is a global concern.

The Current State of Diabetic Retinopathy Screening

Current guidelines recommend yearly eye exams for individuals with diabetes to detect referable diabetic retinopathy. However, the immense screening burden has led to the development of artificial intelligence (AI) algorithms to autonomously screen for diabetic retinopathy from fundus photography without human input.

Over the last 10 years, many AI algorithms have achieved good sensitivity and specificity (>85%) for detection of referable diabetic retinopathy compared to human graders.

However, many questions still remain, and head-to-head validation studies are limited.

The Need for Accurate Diagnosis

Accurate diagnosis is crucial in preventing blindness. A team at Google has been working on using AI to help doctors prevent blindness in diabetics and have developed an AI algorithm that can identify diabetic retinopathy from retina scans with high accuracy.

A Solution: AI-Powered Diabetic Retinopathy Classification

Our solution involves classifying the severity of diabetic retinopathy in retina images across five categories, and we utilize YOLOv8 (YOLOv10 coming soon) for detection, with an integrated LLM assistant.

The interface is designed using Gradio-chat for retina image uploads and assistant dialogue. The deliverables include project code, a detailed tutorial, and a presentation.

Learn How to Code This Solution Inside Out

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Don't miss out on this opportunity to learn how to create AI-powered solutions for diabetic retinopathy diagnosis.

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