Artificial Intelligence solution for screening cataract

Not yet recruiting

• Conditions: Diseases of the eye and adnexa,

• Registration Number: CTRI/2020/09/027728
• 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 a 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: 2020-10-09
• Study Start: 2020-12-09

Recruitment & Eligibility

• Status: Not Yet Recruiting
• Sex: All
• Target Recruitment: 220

Inclusion Criteria

Any cataract Pseudophakia Aphakia Clear Lens.

Exclusion Criteria

Corneal Opacity nystagmus.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Ability to Diagnose Cataract in images captured	on presentation

Trial Locations

Locations (1)

Sankara Eye Hosptial; 🇮🇳 Bangalore, KARNATAKA, India

Sankara Eye Hosptial

🇮🇳Bangalore, KARNATAKA, India

Kaushik Murali

Principal investigator

08028542727

kaushik@sankaraeye.com