EyeCheckup utilizes artificial intelligence to analyze fundus images and detect over 20 retinal diseases, including diabetic retinopathy and glaucoma, with a diagnostic accuracy of 96%. This system enables early identification of eye, heart, and kidney diseases, facilitating timely referrals to specialists and reducing the risk of blindness and vision loss.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The diagnosis of retinal diseases, chronic kidney disease (CKD), and cardiovascular disease (CVD) often requires expert opinions and can be time-consuming. Traditional methods may also necessitate the use of eye drops, adding to patient discomfort and inconvenience.
Solution
EyeCheckup offers an AI-powered system that analyzes retinal fundus images to detect anomalies and diagnose various diseases, including diabetic retinopathy, glaucoma, and age-related macular degeneration. The system identifies retinal abnormalities associated with over 20 different pathologies, grades and labels them, and generates analysis results with anomalies marked on each image within 3 seconds. EyeCheckup can also detect 11 different anomalies in OCT scans, which can be used for screening, diagnosis, and training for retinal diseases. The platform aims to provide a reliable and affordable eye screening solution, potentially reducing the need for expert opinions in initial assessments.
Target Audience
The primary target audience includes healthcare providers, ophthalmologists, and screening programs seeking an AI-powered solution for rapid and accurate detection of retinal and systemic diseases through fundus image analysis.
Features
- AI-driven analysis of fundus images for the detection of over 20 retinal diseases
- Detection of more than mild Diabetic Retinopathy, vision-threatening Diabetic Retinopathy, and Macular Edema suspect (CSDME) using color fundus images and OCT scans
- Detection of moderate and severe Glaucoma suspect using color fundus images
- Diagnosis of dry and wet Age-related Macular Degeneration (ARMD), including Geographic Atrophy (GA) using color fundus images and OCT scans
- Identification of 11 different anomalies in OCT scans
- Integration with non-mydriatic fundus cameras for image acquisition
- Automatic detection, grading, and labeling of disease pathologies
- Rapid analysis and display of results within 3 seconds
- Detection of invalid images (clipped, fluo, overexposed, too dark, eye closed)