Clinical Research Directory
Browse clinical research sites, groups, and studies.
AI-enabled Screening and Diagnosis of Cardiomyopathies Using Coronary CTA
Sponsor: Shanghai Zhongshan Hospital
Summary
The goal of this observational and diagnostic study is to develop and validate an artificial intelligence assisted approach for coronary computer tomography angiography-(CCTA)-based screening and diagnosis of cardiomyopathies in patients with suspected coronary artery diseases. This study aims to develop a computerized CCTA interpretation using artificial intelligence for multi-label classification task to assist cardiomyopathy diagnosis in the clinical workflow.
Official title: Artificial Intelligence-enabled Screening and Diagnosis of Cardiomyopathies Using Coronary Computer Tomography Angiography
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
5000
Start Date
2024-12-30
Completion Date
2025-12-30
Last Updated
2024-12-27
Healthy Volunteers
Yes
Conditions
Interventions
CCTAI model
Using a derivative sub-cohort, the investigators aim to first develop an CCTA-based AI-assisted (CCTAI) screening model to distinguish patients with cardiac abnormalities from those normal controls. Second, the investigators target at developing a CCTAI diagnostic model with multi-classification output of cardiomyopathy diagnosis. Both models will be tested in internal validation cohort and external validation cohort.