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Glaucoma Algorithm Validation Study in African Population - the MAGIC Study

NCT06552247 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2024-08-13

No results posted yet for this study

Summary

Artificial Intelligence (AI) algorithms require validation in a variety of populations to ensure widespread clinical applicability. In Ophthalmology, AI algorithms are reaching maturity in diagnosis such as diabetic retinopathy and glaucoma. Higher-at-risk subjects of African descent are nevertheless usually under-represented in training datasets and therefore unclear about representativity.

A small scale validation study in consecutive patients in a large Eyesore unit in Mozambique will be performed to determine the diagnostic ability of these AI softwares in this population

Conditions

Interventions

DIAGNOSTIC_TEST

Fundus Picture AI testing

G-Risk AI algorithm will assess the optic disc centered fundus picture and determine whether or not there is a need for referrable based on a pre-determined threshold (\>=0.73)

Sponsors & Collaborators

  • Dr. Agarwal's Eye Hospital

    collaborator INDUSTRY

  • Centro Hospitalar Universitário Lisboa Norte

    lead OTHER

Principal Investigators

  • Joana Ferreira, MD, PhD · ULS Santa Maria

  • Amelia Buque, MD · Dr. Agarwal Eye Hospital

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-14
Primary Completion
2024-08-31
Completion
2024-08-31

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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 NCT06552247 on ClinicalTrials.gov