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Integration of an Artificial Intelligence Platform for Screening of Diabetic Retinopathy in Public Health Facilities: A Pilot Study from India

Integration of an Artificial Intelligence Platform for Screening of Diabetic Retinopathy in Public Health Facilities: A Pilot Study from India

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/10/046185
Enrollment
706
Registered
2022-10-04
Start date
Unknown
Completion date
Unknown
Last updated
2022-10-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: H334- Traction detachment of retina

Interventions

None listed

Sponsors

NITI Aayog
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients aged 30 years and above with Type 2 Diabetes Mellitus will be included

Exclusion criteria

Exclusion criteria: Non-diabetic patients, diabetics patients less than 30 years and seriously ill patients not able to come for screening will be excluded from the study

Design outcomes

Primary

MeasureTime frame
ââ?¬Â¢Increase in the number of patients screened for Diabetic retinopathy ââ?¬Â¢ Increase in number of referred patients utilized specialist services ââ?¬Â¢Improving referral and timely management of DR ââ?¬Â¢Feasibility and acceptability of the Artificial intelligence intervention Timepoint: 12 months—

Secondary

MeasureTime frame
Increase in number of referred patients utilized specialist services ââ?¬Â¢Improving referral and timely management of DR ââ?¬Â¢Feasibility and acceptability of the Artificial intelligence intervention Timepoint: 12 months—

Countries

India

Contacts

Public ContactMona Duggal

Post Graduate Institute of Medical Education and Research

duggal.mona@pgimer.edu.in09915816281

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026