The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning

NCT07274436•Lian Yang

Summary

By enrolling patients who underwent cardiac MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group. The study group underwent scanning using AI-based(Artificial Intelligence-based) cardiac MRI(Magnetic Resonance Imaging) sequences, while the control group was scanned using non-AI cardiac MRI sequences

Eligibility

Age

18 - No limit years

Sex

ALL

Healthy Volunteers

Inclusion Criteria

•1. Patients requiring cardiac MRI in clinical practice;
•2. Patient age ≥ 18 years;
•3. The patient has signed an informed consent form.

Exclusion Criteria

•1. Patients with contraindications to magnetic resonance imaging;
•2. Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements;
•3. Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial;
•4. Subjects or their legal guardians voluntarily requesting to withdraw.

Locations (1)

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

Wuhan, Hubei, China

Key Dates

Start Date

August 1, 2025

Primary Completion Date

August 1, 2026

Completion Date

August 1, 2026

Last Updated

December 10, 2025

Enrollment

ESTIMATED participants

Conditions

Cardiac Disease

Contacts

Lian Yang

CONTACT

18986273791 yanglian@hust.edu.cn

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: December 10, 2025Data synced to Clareo: March 29, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

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The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning

Inclusion Criteria

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