Development of an Artificial Intelligence for Cataract Screening

Not Applicable

Conditions: Health Condition 1: H25- Age-related cataract

Registration Number: CTRI/2023/02/050045

Lead Sponsor: Remidio Innovative Solutions

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: ot Yet Recruiting

Sex: Not specified

Target Recruitment: 0

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

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

Study & Design

Study Type: Observational

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
This study aims to contribute to the development of AI for cataract screening and grading <br/ ><br>Favorable results would contribute to a paradigm shift in cataract screening strategy <br/ ><br>Screening could be taken to the community and primary eye care centres potentially identifying referable cataract and reducing its associated blindness <br/ ><br>It could increase healthcare access and help upscaling screening in low resource areasTimepoint: 6MONTHS

Secondary Outcome Measures

Name	Time	Method
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