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Application of Artificial Intelligence in Early Detection of Eye Complications in Diabetics

NCT05655117 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 440

Last updated 2022-12-29

No results posted yet for this study

Summary

The goal of this pragmatic trial is to test the benefit of using artificial intelligence-based eye screening i.e, a fundus camera device in the early detection of eye complications in diabetics. The main questions it aims to answer are:

To what extent does the application of artificial intelligence-based eye care at primary care clinics work well in achieving early detection of eye complications such as macular oedema? To what extent does the application of artificial intelligence-based eye care at primary care clinics work well in achieving early detection of eye complications such as retinopathy? Participants will be asked to participate in the screening for eye complications at primary care centres, and a fundus camera will be used for screening.

Researchers will compare the proportion of detected cases with early signs of eye complication among those using artificial intelligence-based eye screening i.e., fundus camera, to the proportion of detected cases among those using routine eye care clinics at the primary care centre.

Early detection of eye complications in diabetics prevents the risk of blindness.

Conditions

  • Artificial Intelegence
  • Diabetic Retinopathy Associated With Type 2 Diabetes Mellitus
  • Macular Edema Due to Type 2 Diabetes Mellitus

Interventions

OTHER

AI based eye screening

The application of AI devices i.e Fundus Camera to detect diabetic retinopathy and macular Oedema in diabetics at the primary care centre

Sponsors & Collaborators

  • Health Holding Company, Hail Health Cluster

    collaborator UNKNOWN

  • The New Model of Care, Hail Health Cluster

    lead OTHER_GOV

Principal Investigators

  • Khalil Alshammari, VIP Chief MO · Hail Health Cluster

  • Fakhralddin Elfakki, Researcher at MOC · New Model of Care, Hail Health Cluser

  • Meshari Aljamani, MOC Lead · New Model of Care, Hail Health Cluster

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-31
Primary Completion
2023-06-30
Completion
2023-07-31

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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 NCT05655117 on ClinicalTrials.gov