What is Eye Diabetic Retinopathy?
The Diabetic Retinopathy Detector is a 97.5% accurate model for predicting diabetic retinopathy severity from retinal images, accessible via a public API for healthcare and research use.
Problem
Diabetic retinopathy is a common complication of diabetes, which can lead to blindness if not detected early. The current situation involves traditional methods of detection that are often reliant on clinical screening by healthcare professionals.
Drawbacks include the need for specialized equipment, potential for human error in diagnosis, and limited availability of healthcare professionals trained in ophthalmoscopy.
Solution
A public API that uses a model to predict diabetic retinopathy severity from retinal images.
Users, particularly in healthcare and research, can utilize this model to analyze retinal images with 97.5% accuracy, facilitating early detection and diagnosis.
Customers
Healthcare professionals, researchers, and healthcare organizations dealing with diabetic patients who need efficient ways to screen and monitor retinopathy.
Unique Features
The solution offers a high level of accuracy at 97.5%, easily accessible via public API, and can assist in automating the process of screening for diabetic retinopathy.
Market Size
The global diabetic retinopathy screening market was valued at approximately $XX billion in 2021 and is expected to grow at a CAGR of X% from 2022 to 2027.
