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Prediction of Coronary Artery Disease Based on Multimodal, Non-contact Information With Artificial Intelligence

NCT06092801 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2978

Last updated 2025-11-28

No results posted yet for this study

Summary

The goal of this observational study are 1) to assess the effectiveness of modalities and/or their combination of multimodal non-contact information in predicting coronary artery disease; 2) to prospectively validate the performance of the developed artificial Intelligence models in predicting coronary artery disease.

Conditions

Interventions

OTHER

No intervention

No intervention

Sponsors & Collaborators

  • China National Center for Cardiovascular Diseases

    lead OTHER_GOV

Principal Investigators

  • Shen Lin, M.D., Ph.D. · Chinese Academy of Medical Sciences, Fuwai Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-11-20
Primary Completion
2025-04-09
Completion
2025-04-09

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT06092801 on ClinicalTrials.gov