Diagnosis of HCM With AI-ECG
Recruiting
- Conditions
- Hypertrophic Cardiomyopathy
- Registration Number
- NCT06287892
- Lead Sponsor
- Shanghai Zhongshan Hospital
- Brief Summary
The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 10000
Inclusion Criteria
- Diagnosed with HCM
Exclusion Criteria
- Patients with ventricular pacing
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diagnosis of HCM with AI-ECG 1 year within the time frame of ECG data collection First a diagnosis of HCM is made as the standard outcome according to 1) an International Classification of Diseases (ICD) code for HCM (ICD-9425.1, 425.11, 425.18, and ICD10 I42.1, I42.2); 2) reports from the echocardiographers.
An AI-ECG algorithm will be used to make a diagnosis of HCM and compared with the standard outcome.
The performance of the AI-ECG algorithm will be evaluated with metrics including AU-ROC, specificity, sensitivity and F1 value.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
180 Fenglin Road
🇨🇳Shanghai, China