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Implementation of an Integrated System of Artificial Intelligence and Referral Tracking for Real-time Diabetic Retinopathy Screening

NCT05166122 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1600

Last updated 2022-09-02

No results posted yet for this study

Summary

This research study aims to bring an artificial intelligence system to screen for diabetic retinopathy (DR) along with referral tracking systems to the screening unit in Uthai Hospital in Phra Nakhon Sri Ayutthaya to assess the effectiveness of screening and follow-up of patients referred to Phra Nakhon Sri Ayutthaya Hospital. It will be compared with the existing screening system and follow up with regular referral by personnel

Conditions

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence

Introduction of digitized system with an AI tool to detect and intrepret the severity of diabetic retinopathy and presence of diabetic macular edema in screening for diabetes patients

Sponsors & Collaborators

  • Health Systems Research Institute,Thailand

    collaborator OTHER_GOV

  • Google LLC.

    collaborator INDUSTRY

  • Department of Medical Services Ministry of Public Health of Thailand

    lead OTHER_GOV

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-01
Primary Completion
2022-08-19
Completion
2022-09-30

Countries

  • Thailand

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05166122 on ClinicalTrials.gov