Using AI to diagnose hypertrophic cardiomyopathy with ECG
Diagnosis of Hypertrophic Cardiomyopathy With Artificial Intelligence-enhanced Electrocardiogram
This study is testing if using artificial intelligence with heart electrical activity tests can help doctors diagnose hypertrophic cardiomyopathy more accurately and quickly.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Shanghai Zhongshan Hospital Academic / other |
| Locations | 1 site (Shanghai) |
| Trial ID | NCT06287892 on ClinicalTrials.gov |
What this trial studies
This study aims to develop a diagnostic model for hypertrophic cardiomyopathy (HCM) utilizing artificial intelligence-enhanced electrocardiograms (ECGs). By analyzing ECG data, the study seeks to improve the accuracy and efficiency of HCM diagnosis. The observational nature of the study allows for the collection of real-world data from patients already diagnosed with HCM. The findings could lead to better diagnostic tools for clinicians and improved patient outcomes.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals who have already been diagnosed with hypertrophic cardiomyopathy.
Not a fit: Patients with ventricular pacing will not benefit from this study due to exclusion criteria.
Why it matters
Potential benefit: If successful, this approach could provide a more accurate and timely diagnosis of hypertrophic cardiomyopathy for patients.
How similar studies have performed: While the use of AI in ECG analysis is a growing field, this specific application for diagnosing HCM is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosed with HCM Exclusion Criteria: * Patients with ventricular pacing
Where this trial is running
Shanghai
- 180 Fenglin Road — Shanghai, China (Recruiting)
Study contacts
- Principal investigator: Yixiu Liang, MD — Fudan University
- Study coordinator: Yixiu Liang, MD
- Email: liang.yixiu@zs-hospital.sh.cn
- Phone: +8613764653847
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.