Actively Recruiting
The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
Led by Lian Yang · Updated on 2025-12-10
50
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
CONDITIONS
Official Title
The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients requiring cardiac MRI in clinical practice;
- Patient age ≥ 18 years;
- The patient has signed an informed consent form.
You will not qualify if you...
- Patients with contraindications to magnetic resonance imaging;
- Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements;
- Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial;
- Subjects or their legal guardians voluntarily requesting to withdraw.
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Union Hospital，Tongji Medical College，Huazhong University of Science and Technology
Wuhan, Hubei, China, 430000
Actively Recruiting
Research Team
L
Lian Yang
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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