Detect early signs of diabetic retinopathy faster
Achieve earlier disease detection and faster diagnosis through computer-aided,
AI-driven screening systems
How it works?
The Computer-Aided Diagnosis of Retinopathy (CADx) solution for diabetic retinopathy diagnosis utilizes anomaly detection and image analysis to detect subtle morphological changes in the fundus of the eye that, if unchecked, cause diabetic retinopathy and blindness. The manual inspection of fundus images is time consuming, and it overburdens the opthalmologists unnecessarily. They inspect multiple fundus screens (most of which display no signs of diabetic retinopathy) to diagnose the condition before critical damage to optic disk, exudates, and blood vessels is caused.
The solution by VITech assists the opthalmologists in diagnosing diabetic retinopathy by detecting first signs of the condition in dozens of thousands of images per minute and arranging “healthy” and “unhealthy” screens in separate folders. It gives the doctors more time to look into disputable cases to diagnose more accurately and efficiently to prevent lifelong blindness in patients at scale.
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Image labeling technology to improve screening accuracy on local data
Real-time diagnosis of various conditions
Secure, scalable, and customizable
Easy integration through RESTful API