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Clinical Trials/NCT03912961
NCT03912961
Completed
Not Applicable

Comparative Analysis of Diabetic Retinopathy Images by Retina Specialists Versus EyeStar's Artificial Intelligence Software of Images Captured by Pictor Plus Retinal Camera

Retina Global3 sites in 1 country1,034 target enrollmentJanuary 21, 2019

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Diabetic Retinopathy
Sponsor
Retina Global
Enrollment
1034
Locations
3
Primary Endpoint
Number of subjects where the image readout by retina specialists match the readouts by EyeStar AI system for identifying diabetic eye disease
Status
Completed
Last Updated
5 years ago

Overview

Brief Summary

In this clinical trial, we plan to evaluate the usefulness of artificial intelligence (AI) software paired with a handheld retinal camera to compare diabetic retinopathy status in Bolivian patients as read by retina specialists versus the AI software.

Registry
clinicaltrials.gov
Start Date
January 21, 2019
End Date
October 15, 2019
Last Updated
5 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Male or female subjects who are at least 18 years old who have full legal capacity to volunteer on the date the informed consent is signed;
  • Subjects who can follow the instructions by the clinical staff at the clinical site, and can attend examinations on the scheduled examination dates;
  • Subjects who have been diagnosed with Type I or Type II diabetes mellitus.

Exclusion Criteria

  • Subjects unable to tolerate ophthalmic imaging;
  • Subjects who have been scheduled for but have not yet undergone the following surgeries: Cataract Surgery (including any related follow-up procedures) or Vitrectomy.
  • Subject blind in one eye due to any cause
  • Subjects who have a condition or a situation, which in the investigator's opinion, may put the subject at increased risk, confound study data, or interfere significantly with the subject's study participation.

Outcomes

Primary Outcomes

Number of subjects where the image readout by retina specialists match the readouts by EyeStar AI system for identifying diabetic eye disease

Time Frame: 3 months

To quantify image analysis performance of the EyeStar AI system paired with Pictor Plus cameras for the detection of referable Diabetic Retinopathy (DR), defined as severe non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), or diabetic macular edema (DME) against adjudicated reads of retinal images by retina specialists

Secondary Outcomes

  • Number of subjects with ocular diseases other than diabetic retinopathy between the readout by the EyeStar AI system and those by the retina specialists(3 months)
  • Number of subjects with gradable images taken by the hand held camera(3 months)

Study Sites (3)

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