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NCT05857943

Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Funduscopic Images

Completed NA Last updated 8 November 2023
What this trial tests

NA trial testing AEYE-DS Software in Diabetes Mellitus in 363 participants. Completed in 10 October 2023.

Timeline
29 March 2023
Primary endpoint
11 September 2023
10 October 2023

Quick facts

Lead sponsorAEYE Health Inc
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment363
Start date29 March 2023
Primary completion11 September 2023
Estimated completion10 October 2023
Sites3 locations across United States

Drugs / interventions tested

Conditions studied

Sponsor

AEYE Health Inc

Who can join

22 and older, any sex, with Diabetes Mellitus or Diabetic Retinopathy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other trials of AEYE-DS Software

Trials testing the same drug.

Other recruiting trials for Diabetes Mellitus

Currently open trials in the same condition.

Other AEYE Health Inc trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05857943.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing