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International Study of Artificial Intelligence-based Diagnosis of Cardiomyopathy Using Cardiac MRI (AID-MRI)

NCT05793840 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 1100

Last updated 2024-03-13

No results posted yet for this study

Summary

The goal of this observational study is to test the accuracy of computer (machine learning-based) algorithms to diagnosis heart diseases and predict if and when heart complications will occur. The AID-MRI research team has developed algorithms aimed at modelling 3D heart structure and movement (deformation), showing these may be of value to achieve these tasks. The International AID-MRI study aims to test the performance of these algorithms across 11 international sites, using data obtained from a broad variety of patients using different MRI scanners. In addition to an established cohort of 10,000 patients, AID-MRI will recruit an additional 1100 patients from its international sites, these serving as an external validation cohort.

Conditions

  • Cardiomyopathies

Sponsors & Collaborators

  • University of Alberta

    collaborator OTHER

  • University of Calgary

    lead OTHER

Principal Investigators

  • James White, MD, FRCP(C) · University of Calgary

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-06-30
Primary Completion
2024-12-31
Completion
2025-07-30

Countries

  • Canada

Study Locations

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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 NCT05793840 on ClinicalTrials.gov