Diagnosis of HCM With AI-ECG

Diagnosis of Hypertrophic Cardiomyopathy With Artificial Intelligence-enhanced Electrocardiogram

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06287892

Enrollment

10000

Registered

2024-03-01

Start date

2024-01-01

Completion date

2024-12-31

Last updated

2024-03-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertrophic Cardiomyopathy

Brief summary

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

Interventions

None listed

Study design

Observational model

CASE_CONTROL

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* Diagnosed with HCM

Exclusion criteria

* Patients with ventricular pacing

Design outcomes

Primary

Measure	Time frame	Description
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.

Countries

China

Contacts

Primary ContactYixiu Liang, MD

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

Outcome results