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Clinical Trial Summary

HCM FLIP study is a two-phase protocol focusing on the detection of Hypertrophic Cardiomyopathy using Electrocardiograms and Echocardiograms through Federated Learning.


Clinical Trial Description

HCM FLIP (Hypertrophic Cardiomyopathy Federated Learning Implementation Platform) aim to build and test a model's system impact to detect hypertrophic cardiomyopathy (HCM) by training a machine learning (ML) model with electrocardiograms (ECGs) and echocardiograms (ECHOs). Approximately 10-1000 HCM cases and 30-10,000 age/sex-matched controls per institution, depending on size, will be included in the study. We hypothesize that a federated ML model will discriminate cases of HCM from those without HCM in a real-world setting. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06461468
Study type Observational
Source American Heart Association
Contact Shaina Costello, MPH
Phone 3146925607
Email ClinicalStudies@heart.org
Status Not yet recruiting
Phase
Start date June 2024
Completion date January 2026

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