To assess the Artificial Intelligence Software in detection of Diabetic Retinopathy

Not yet recruiting

Conditions: Type 2 diabetes mellitus with ophthalmic complications,

Registration Number: CTRI/2020/03/024000

Lead Sponsor: Dr S Sivaranjani

Brief Summary: Purpose:

The purpose of the study is to simplify the screening of Diabetic Retinopathy and to create public awareness. Artificial intelligence can play a unique role in public health screeningfor detection of diabetic Retinopathy**.** Evaluation of fundusphotos through an offline DR Grading software may be an effective tool in ascreening setting to determine critical levels of diabetic retinopathy forprompt specialist referral.

Findings:

There are no findings yet.

Detailed Description: Not available

Recruitment & Eligibility

Status: Not Yet Recruiting

Sex: All

Target Recruitment: 250

Inclusion Criteria

All the diabetic patients visiting the DR screening camps with pupil size 3 mm or more, cataract with grade senile immature cataract with nuclear sclerosis II (NSII) and with clear cornea.

Exclusion Criteria

Patients with macular or leucomatous corneal opacity, cataract with grade more than senile immature cataract with nuclear sclerosis II.

Study & Design

Study Type: Observational

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
To assess the accuracy of grading done by Artificial Intelligence	Once the recruitment is completed, the images will be sent to Retina Specialist and assessed. Time point will be 3 months.

Secondary Outcome Measures

Name	Time	Method
To assess the number of patients with Diabetic Retinopathy in patients who come for a Diabetic Retinopathy camp.	By the end of recruitment - 3 months

Trial Locations

Locations (1): Aravind Eye Hospital Pondicherry
🇮🇳
Pondicherry, PONDICHERRY, India
Aravind Eye Hospital Pondicherry
🇮🇳Pondicherry, PONDICHERRY, India
Dr S Sivaranjani
Principal investigator
9943759150
drsivaranjani.s@gmail.com