Plain-English translation of NCT07263204 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing an artificial intelligence system that can analyze simple heart rhythm recordings (called ECGs) to help diagnose hypertrophic cardiomyopathy—a condition where the heart muscle becomes abnormally thick. By studying 15,000 people across multiple hospitals, they hope to create a tool that works reliably everywhere and catches this condition earlier, before it causes serious problems.
Many cases of thickened heart muscle go undiagnosed until symptoms become severe, and different hospitals often get different results using current methods. This trial aims to solve both problems by creating an affordable, widely available tool that any hospital can use consistently.
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Your participation involves having your heart rhythm recorded using a standard ECG machine—a quick, painless test that takes just a few minutes. Researchers will also review your existing heart imaging records (like echocardiograms or cardiac MRI scans) to help train their artificial intelligence system. There are no experimental medications or invasive procedures; you are helping build a diagnostic tool by contributing your medical information.
AI-generated summary from trial data · Aug 9, 2026 · Not medical advice
China
Enrollment target
~15,000 participants
Started
January 2025
Primary completion
June 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years and older
Last updated on clinicaltrials.gov in December 2025.
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Central contact
Xiaojie Xie, MD, PhD
Second Affiliated Hospital, Zhejiang University, School of Medicine
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