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AI-Enabled Diagnosis and Prognosis of Hypertrophic Cardiomyopathy
Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
Summary
By harnessing artificial intelligence to decode the 12-lead electrocardiogram, the project will enable precise ECG-based phenotyping of hypertrophic cardiomyopathy-accurately classifying septal, apical, and other morphologic subtypes-while simultaneously differentiating HCM from hypertensive heart disease, aortic stenosis, and other phenocopy disorders.
Official title: Precision Diagnosis and Prognostic Prediction of Hypertrophic Cardiomyopathy Using Artificial Intelligence: A Multicenter Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
15000
Start Date
2025-01-01
Completion Date
2026-12-31
Last Updated
2025-12-04
Healthy Volunteers
Yes
Locations (1)
Second Affiliated Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, China