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NCT06748261

AI-enabled Screening and Diagnosis of Cardiomyopathies Using Coronary CTA

Sponsor: Shanghai Zhongshan Hospital

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

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.