EYELOGIC INTELLIGENCE
USING ARTIFICIAL
INTELLIGENCE TO BETTER
DETECT CRITICAL EYE DISEASE
OUR EYELOGIC INTELLIGENCE USES AI TO DETECT
EYE DISEASE EARLY, WHEN ITS MOST TREATABLE
Through the use of FDA approved equipment and software, scientific algorithms are used to enhance patient retinal images to identify lesions in the retina, which cause diabetic retinopathy and if untreated, result in vision loss and ultimately blindness.
These lesions are typically undetectable to the human eye.
Identifying diabetic retinopathy in its early stages, when its most treatable, is critical to preventing blindness and lowering health care costs. The use of AI represents a significant improvement in the standard of eye care.
Besides diabetic retinopathy, other critical diseases can be detected through Teleretinal Screenings.
Types of diseases detected via TeleRetinal Screenings:
Diabetic
Retinopathy
Glaucoma
Hypertension
Cataracts
Macular
Degeneration
SINCE MOST EYE DISEASES HAVE NO SYMPTOMS AN EYE EXAM AND/OR TELERETINAL SCREENING ARE IMPORTANT TOOLS FOR EARLY DETECTION
PROBLEM:
1/2 of the estimated 61M people in the U.S., at risk of serious vision loss, have NOT seen an eye doctor in the past year
solution:
Ocular Telehealth represents a cost effective tool to expand access to eye exams and retinal screenings.
In addition to eye health screenings conducted through optical stores and eye care practitioners, telemedicine makes it possible to expand these important screenings through primary care physicians, health and wellness clinics, schools, nursing homes and other convenient points of access.
Increased access to eyecare can help in the early diagnosis and successful treatment of vision threatening diseases, like Diabetic Retinopathy.
