Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Funduscopic Images
- Conditions
- Diabetic RetinopathyDiabetes Mellitus
- Interventions
- Device: AEYE-DS Software
- Registration Number
- NCT05857943
- Lead Sponsor
- AEYE Health Inc
- Brief Summary
AEYE-DS is a software device developed to increase compliance with diabetic retinopathy screening by automatically detecting more-than-mild diabetic retinopathy from digital funduscopic images using AI-based software. This study has been designed to validate the safety and efficacy of the device at primary care and other point of care sites.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 363
- Age ≥22
- Male or female
- Documented diagnosis of diabetes mellitus, meeting the criteria established by the American Diabetes Association (ADA) and World Health Organization (WHO):
- Understand the study and volunteer to sign the informed consent
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Uncorrectable vision loss (e.g., with the use of eyeglasses), blurred vision, or floaters.
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Diagnosed with macular edema, severe non-proliferative retinopathy, proliferative retinopathy, radiation retinopathy, or retinal vein occlusion.
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Previously diagnosed with Diabetic Retinopathy.
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History of laser treatment of the retina or injections into either eye, or any history of retinal surgery.
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Currently participating in another investigational eye study and actively receiving investigational product for DR or DME.
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Participant has a condition that, in the opinion of the investigator, would preclude participation in the study (e.g., unstable medical status including blood pressure or glycemic control, microphthalmia or previous enucleation).
-
Participant is contraindicated for imaging by fundus imaging systems used in the study:
- Participant is hypersensitive to light
- Participant recently underwent photodynamic therapy (PDT)
- Participant is taking medication that causes photosensitivity
- Participant has a history of angle-closure glaucoma or narrow anterior chamber angles
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Subject is pregnant.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description AEYE-DS Software Device AEYE-DS Software An AI software device (AEYE-DS) to be used as a diagnostic tool to assist primary care clinicians in screening for diabetic retinopathy using digital funduscopic images. The device automatically detects more than mild diabetic retinopathy (mtmDR) in adults diagnosed with diabetes who have not been previously diagnosed with diabetic retinopathy
- Primary Outcome Measures
Name Time Method Sensitivity and Specificity 1 year
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (3)
The Jackson Clinic
🇺🇸Jackson, Tennessee, United States
Karas Health Care
🇺🇸Fayetteville, Arkansas, United States
Lake Nona Research
🇺🇸Orlando, Florida, United States