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AI Assisted Screening for VHD Using Routine Chest CT Scans

NCT07449130 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2026-05-12

No results posted yet for this study

Summary

This is a prospective, multicenter study designed to 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.

Conditions

  • Heart Valve Diseases

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-02
Primary Completion
2026-11-01
Completion
2026-11-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07449130 on ClinicalTrials.gov