Health Condition 1: H25- Age-related cataract
Conditions
Interventions
None listed
Sponsors
Remidio Innovative Solutions
Eligibility
Inclusion criteria
Inclusion criteria: 18-70 years age (co-operate for examination and provide a written informed consent (self/guardian) Type of cataract such as primary age-related cataract, childhood cataract, secondary cataract â?? traumatic cataract, diabetic cataract, drug induced cataract Normal subjects with clear lens or intra-ocular lens (IOLs), post Nd- YAG Capsulotomy No contraindication for dilation
Exclusion criteria
Exclusion criteria: Patient with acute or sudden vision loss Participant not willing for imaging Participant with unstable medical condition, seizures, active eye infection, immediate post-operative patient, etc) Patients with pathology of the cornea, anterior chamber, or iris that interfere with the capturing or interpretation of lens images (e.g., corneal opacity/edema, primary angle closures without PI, uveitis, and iris defects including aniridia, coloboma, and iridocorneal endothelial syndrome), posterior capsular opacification
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| This study aims to contribute to the development of AI for cataract screening and grading Favorable results would contribute to a paradigm shift in cataract screening strategy Screening could be taken to the community and primary eye care centres potentially identifying referable cataract and reducing its associated blindness It could increase healthcare access and help upscaling screening in low resource areasTimepoint: 6MONTHS | — |
Secondary
| Measure | Time frame |
|---|---|
| To develop & assess the performance of an AI-based grading algorithm to identify severity grades of cataract using anterior segment images captured on Remidio FOP NM-10 against the reference standard (LOCS III grading by ophthalmologistTimepoint: 6MONTHS | — |
Countries
India
Contacts
Public ContactTHAMIZHSELVI DHANASEELAN
Aravind Eye Hospital
Outcome results
None listed