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Clinical Trials/CTRI/2020/09/027728
CTRI/2020/09/027728Not yet recruitingNot Applicable

Validate an Artificial Intelligence solution (PowerAI) fordiagnosing cataract using a mobile aided imaging system

Sankara Eye Hospital1 site in 1 country220 target enrollmentStarted: December 9, 2020Last updated:

Trial Snapshot

Phase
Not Applicable
Status
Not yet recruiting
Enrollment
220
Locations
1
Primary Endpoint
Ability to Diagnose Cataract in images captured

Study Overview

Brief Summary

Using an Artificial Intelligence algorithm we are aiming at creating a serviceable option to improve clinical workflow of cataract’s diagnosis in the background of large-population screening (community screening).This will be achieved by using a smartphone and capturing an image of the eye. The Ai algorithm would be used to identify cataract , normal eye and pseudophakia/aphakia. This would be compared with a slit lamp examination to identify the presence of cataract. The study looks to compare the ability of a Ai based prediction of a photograph of the eye to help identify cataracts in the study population.

Study Design

Study Type
Observational

Eligibility Criteria

Ages
50.00 Year(s) to 99.00 Year(s) (—)
Sex
All

Inclusion Criteria

  • Any cataract Pseudophakia Aphakia Clear Lens.

Exclusion Criteria

  • Corneal Opacity nystagmus.

Outcomes

Primary Outcomes

Ability to Diagnose Cataract in images captured

Time Frame: on presentation

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor Class
Research institution and hospital

Study Sites (1)

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