Role of Artificial Intelligence for Glaucoma screening in patients visiting a general ophthalmology clinic
Not Applicable
- Conditions
- Health Condition 1: H400- Glaucoma suspect
- Registration Number
- CTRI/2024/06/069657
- Lead Sponsor
- Remidio Innovative Solutions Inc
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1. This study will include consecutive patients above the age of 50.
2. They should be capable of providing informed consent who are attending the comprehensive ophthalmology clinic at Aravind Eye Hospital, Pondicherry, India.
Exclusion Criteria
1.Patients with acute or sudden vision loss
2. Patients with an active eye infection
3. Patients who had cataract or other eye surgery less than one month before
4. Patients who do not speak Tamil or English
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method We expect the addition of imaging device may help detect glaucoma patients that would otherwise have been missed in comprehensive ophthalmology clinic with a statistically significant prevalence of additional referable cases detected. <br/ ><br>Timepoint: 6 months
- Secondary Outcome Measures
Name Time Method Determine the amount of additional time needed in the comprehensive ophthalmology clinic workflow when incorporating an AI-based fundus camera device for glaucoma screeningTimepoint: NI