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Simple, Mobile-based Artificial Intelligence AlgoRithms in the Detection of Diabetic ReTinopathy (SMART) Study

NCT03572699 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 900

Last updated 2018-10-09

No results posted yet for this study

Summary

This is an observational cross sectional study aimed to evaluate the performance of the artificial intelligence algorithm in detecting any grade of diabetic retinopathy using retinal images from patients with diabetes.

Conditions

Interventions

OTHER

diabetic retinopathy

This is an observational study of patients with diabetes. Patients undergoing routine care will undergo retinal imaging using a nonmydriatic fundus camera. The images will be run on an artificial intelligence (AI) algorithm. The diagnosis of the artificial intelligence algorithm will be compared to the image diagnosis given by the ophthalmologists. The ophthalmologists will be blinded to the diagnosis of the AI and vice versa. The data will be analyzed to evaluate the performance of the AI.

Sponsors & Collaborators

  • Diacon Hospital

    collaborator OTHER

  • Medios Technologies Pte. Ltd

    lead INDUSTRY

Principal Investigators

  • Srikanth Y N, MS · Investigator

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-11
Primary Completion
2018-10-31
Completion
2018-10-31

Countries

  • India

Study Locations

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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 NCT03572699 on ClinicalTrials.gov