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AI Assisted Screening for VHD Using Routine Chest CT Scans
Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
Summary
This is a prospective, multicenter study designed to develop and validate a deep learning model for screening valvular heart diseases using routine, non-contrast chest computed tomography (CT) scans. The primary objective is to evaluate the model's diagnostic performance, with the sensitivity serving as the primary efficacy endpoint. Secondary endpoints will include other performance metrics such as area under the receiver operating characteristic curve (AUC), specificity, and accuracy, etc.
Official title: Artificial-Intelligence Assisted Opportunistic Screening for Valvular Heart Disease Using Non-contrast Chest CT Scans: A Prospective, Multicenter Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
3000
Start Date
2026-03-01
Completion Date
2026-11-01
Last Updated
2026-03-30
Healthy Volunteers
Yes