AI for cataract identification using smartphone

Not yet recruiting

• Conditions: Pseudophakia and Clear Lens; Unspecified age-related cataract,

• Registration Number: CTRI/2021/05/033389
• Lead Sponsor: Sankara Eye Hospital

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 an AI based prediction of a photograph of the eye to help identify cataracts in the study population.

Detailed Description

Not available

Study Timeline

• Last Update Posted: 2021-05-05
• Study Start: 2021-10-05

Recruitment & Eligibility

• Status: Not Yet Recruiting
• Sex: All
• Target Recruitment: 914

Inclusion Criteria

Ages above 50 years All types of cataract Pseudphakia CLear lens.

Exclusion Criteria

Nystagmus Corneal opacity.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Detection of cataract with visual acuity 6/18 in general population using smartphone based images of the eye	At baseline

Secondary Outcome Measures

Name	Time	Method
Acceptance of AI based screening among patients at outreach camps	At baseline

Trial Locations

Locations (1)

Sankara Eye Hospital; 🇮🇳 Bangalore, KARNATAKA, India

Sankara Eye Hospital

🇮🇳Bangalore, KARNATAKA, India

Dr Kaushik Murali

Principal investigator

9739000096

kaushik@sankaraeye.com