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The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
RECRUITINGSponsored by Lian Yang
Actively Recruiting
SponsorLian Yang
Started2025-08-01
Est. completion2026-08-01
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT07274436
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 Years+Healthy volunteers accepted
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.
Conditions2
Cardiac DiseaseHeart Disease
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Actively Recruiting
SponsorLian Yang
Started2025-08-01
Est. completion2026-08-01
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT07274436