Diagnosis of HCM With AI-ECG

Shanghai Zhongshan Hospital10,000 enrolled

Overview

The study aims to establish a diagnostic model of hypertrophic cardiomyopathy with artificial intelligence-enhanced electrocardiogram.

Study Type

OBSERVATIONAL

Enrollment

10,000

Conditions

Hypertrophic Cardiomyopathy

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Diagnosed with HCM Exclusion Criteria: * Patients with ventricular pacing

Locations (1)

180 Fenglin Road

Shanghai, China

RECRUITING

Outcomes

Primary Outcomes

Diagnosis of HCM with AI-ECG

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.

Time frame: 1 year within the time frame of ECG data collection

Central Contacts

Yixiu Liang, MD

CONTACT

+8613764653847 liang.yixiu@zs-hospital.sh.cn

Data from ClinicalTrials.gov

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