NCT06092801

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

Development and Validation of Artificial Intelligence Prediction Models Based on Multimodal, Non-contact Captured Information in Predicting Coronary Artery Disease

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 2,978 (actual)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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.

Detailed description

This observational study aims to assess the effectiveness and potential mechanism of modalities of non-contact captured bio-physiological information, including facial RGB information, infrared thermography temperature information, gait information, and wearable device information, individually and/or in combination, in predicting coronary artery disease (CAD) with artificial intelligence technology. Individuals suspected of CAD and referred for evaluation will be invited to participate in the current study for analyzing the non-contact information and association with underlying CAD status, in order to establish the most efficient artificial Intelligence modeling strategy, and prospectively validate the predictive performance of the developed artificial Intelligence models for CAD prediction.

Conditions

• Coronary Artery Disease

Interventions

Type	Name	Description
OTHER	No intervention	No intervention

Timeline

• Start date: 2023-11-20
• Primary completion: 2025-04-09
• Completion: 2025-04-09
• First posted: 2023-10-23
• Last updated: 2025-11-28

Locations

1 site across 1 country: China