See your health through your eyes
Set a new standard of care by offering personalized health assessment with our AI-empowered diagnostic solutions
MISSION
Bridge the healthcare gap between medical professionals and communities
We believe that early detection is the best prevention. Our innovative diagnostic technology helps you take action before symptoms appear. Our mission is to empower everyone to know their health risks early through a simple eye scan in a primary care setting.
Dr. Noon
The first comprehensive AI diagnostic solution
We are maximizing the value of a retinal scan with our AI diagnostic solutions as an entry point to preventive healthcare. Reti-Intelligence is the first comprehensive AI diagnostic solutions to predict cardiovascular, kidney, eye diseases, and biological age through retinal images as a biomarker.
WHY Dr. Noon
Scientific Evidence
Our algorithms are extensively trained with high-quality data and validated rigorously by leading medical experts
Clinically Validated
Dr. Noon Fundus and Dr. Noon CVD are both commercialized and deployed in over 100 hospitals in Korea
Convenient
We capture retinal photographs at the point of care using a fundus camera without any blood testing or a CT scan
Fully Automated
We screen your retina to detect health risks and automatically generate results within a minute of uploading the images
Easy to use
All we need is an internet connection and a trained operator and we support easy integration with top fundus camera models
Preventive
We let you know of your disease risk early in a primary care setting without having to refer you to a specialist
OUR PRODUCTS
Dr. Noon
Our deep learning algorithms enable us to look through whole-body health using retinal images and detect disease risks early before symptoms appear.
Dr. Noon CVD
Assess your cardiovascular disease risk in a non-invasive manner without getting a blood draw or a CT scan
Dr. Noon CKD
Identify patients at high risk for chronic kidney disease (CKD) more accurately than current standards
Dr. Noon Fundus
Screen cataracts, glaucoma, age-related macular degeneration, and diabetic retinopathy automatically
Dr. Noon Age
Find your biological age and predict your mortality risk based on your retina image to pursue a healthy lifestyle
Clinical Evidence & News
Publication
Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs
The Lancet Digital Health
Coronary Artery Calcium (CAC) score is a clinically validated marker of cardiovascular disease risk.
Publication
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms
The Lancet Digital Health
The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and hematological parameters.
VALIDATED DATA
PUBLICATIONS
Approved Territories
“AI applications in healthcare can literally improve diagnostics and patient care, detecting disease early and helping doctors make informed decisions quickly.”
Kevin Choi – CEO