Validate an Artificial Intelligence solution (PowerAI) fordiagnosing cataract using a mobile aided imaging system
Trial Snapshot
- Phase
- Not Applicable
- Status
- Not yet recruiting
- Sponsor
- Sankara Eye Hospital
- 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
