USING ARTIFICIAL INTELLIGENCE FOR MASS SCREENING OF THE DIABETIC RETINOPATHY
USING ARTIFICIAL INTELLIGENCE FOR MASS SCREENING OF THE DIABETIC RETINOPATHY
The purpose of this study is to create a patient-centric environment for early detection of DR with AI-driven solutions.
The purpose of this study is to create a patient-centric environment for early detection of DR with AI-driven solutions.
This study is planned as a follow-up. Participants who meet the eligibility criteria will be recruited from sites staffed by the trained photographers. After assessing eligibility and securing written informed consent, fundus photographs will be captured using a nonmydriatic ocular fundus camera. Images will be taken according to a specific RAssbyAI Check Eye's imaging protocol provided to camera operator, and then analyzed by the RAssbyAI Check Eye's. The photography protocol consists of two images of the ocular fundus (one optic disc centered, one fovea centered).
Inclusion Criteria:
Documented diagnosis of Diabetes mellitus as defined by:
A. Having met the criteria established by either the World Health Organization (WHO) or the American Diabetes Association (ADA) B. Hemoglobin A1c (HbA1c)>= 6.5% based on repeated assessments C. Fasting Plasma Glucose (FPG) >= 126 mg/dL (7.0 mmol/L) based on repeated assessments D. Oral Glucose Tolerance test with 2 hr plasma glucose >= 200 mg/dL (11.1mmol/L) using equivalent of 75g anhydrous glucose dose in water.
E. Symptoms of hyperglycemia or hyperglycemic crisis with random plasma glucose >=200mg/dL (11.1 mmol/L).
Understanding of the Study and willingness and ability to sign informed consent
Patient age 18 or above
Diagnostic for diabetes: 4a) Type 1 diabetes of a lest 5 years of evolution; or 4b) Type 2 diabetes
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Exclusion Criteria:
andrii.r.korol@gmail.com380936327266
olha.a.pohosian@gmail.com380932084927