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Performance Evaluation of Artificial Intelligence Assisted Diabetic Retinopathy Grading in the Leuven University Hospital: Can Technology Improve the Resident?

NCT05260281 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 139

Last updated 2022-03-02

No results posted yet for this study

Summary

To evaluate the added value of the use of artificial intelligence in the diagnosis of referable diabetic retinopathy in a teaching hospital setting

Conditions

  • To Evaluate the Added Value of the Use of Artificial Intelligence in the Diagnosis of Referable Diabetic Retinopathy in a Teaching Hospital Setting

Interventions

DEVICE

MONA algorithm

most artificial intelligence algorithms, like the MONA algorithm used in this study, are trained on 45-degree fundus photographs. In order to incorporate the use of the algorithm, the study intervention consists of taking 1 extra 45-degree fundus photograph per eye per patient using the Zeiss Cirrus Photo 800 system.

Sponsors & Collaborators

  • Universitaire Ziekenhuizen KU Leuven

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-01
Primary Completion
2022-08-01
Completion
2022-11-01
FDA Device
Yes

More Related Trials

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 NCT05260281 on ClinicalTrials.gov