Dr. Noon Fundus
A retinal-based AI diagnostic solution for glaucoma, cataracts, and other retinal diseases.
Dr. Noon Fundus independently checks your retinal photographs and provides decision support on whether to refer to an ophthalmologist
*DrNoon is an approved product name of Dr. Nooon CVD & Dr. Noon Fundus in some territories.
Features
High Accuracy in detecting eye disease
Immediate results at the point of care
Fully automated diagnosis
Detection of referable eye diseases
Dr. Noon Fundus automatically detects referable eye diseases including retinal abnormality, glaucoma, and media opacity issues by taking a single retina photo. Dr. Noon Fundus recommends patients seek an opthalmologist’s consultation for clinical diagnosis if issues are found.
Normal retina
Retinal abnormality
Glaucoma
Media opacity
Common irreversible eye diseases
The leading causes of blindness and low vision are primarily age-related eye diseases such as age-related macular degeneration, cataract, diabetic retinopathy, and glaucoma.
Glaucoma
Glaucoma is a disease that damages the optic nerve in your eyes. Often known as a silent killer, if left untreated, it will lead to permanent vision loss.
Age-related Macular Degeneration
Age-related Macular Degeneration (AMD) is an age-related deterioration of the vision focal point in your eye. AMD can interfere with daily activities such as driving, reading, and writing.
Cataract
A cataract is a clouding of the lens in the eye that affect vision. Most cataracts are related to aging and are commonly found among older people.
Diabetic Retinopathy
Diabetic Retinopathy (DR) is a common complication of diabetes leading to severe and permanent blindness. As DR is asymptomatic in the early stages, patients may not notice any change in their vision at first.
Benefits
Affordable
Save costs through early detection and management of glaucoma, cataracts, and other retinal diseases.
Accesible
Screen for eye diseases in all healthcare settings before your long-awaited appointment with an ophthalmologist.
Preventive
Know your risk for referable eye disease in time without unnecessary referrals. The earliest possible detection allows the earliest possible treatment.
How Dr. Noon Fundus works
Eye Scan
Take 1 retinal photograph per eye using a fundus camera by optometrists or technicians
Upload
Submit images to the cloud for analysis and type patient information
Analysis
Automatically analyze for signs of eye disease risk within a minute
Report
Generate personalized health screening results and download the report
Referral
Refer to specialists for further follow-up or suggest lifestyle changes and regular check-ups
Get your result Immediately.
Approval of Medical device & Commercial use
Approved in 8 territories
Mediwhale is the only company that obtained approval for eye disease risk assessment using retinal images as a biomarker. Reti-Eye has approvals for the medical device in the EU and Asia and is under FDA clearance in the US.
DrNoon is an approved product name of Dr. Nooon CVD & Dr. Noon Fundus in some territories.
Publication
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
PLOS ONE
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new method.
Abstract
Deep learning is effective for classifying non-referable versus referable eye conditions using fundus photographs
Investigative Ophthalmology & Visual Science