Using AI to predict coronary artery disease with non-contact information
Development and Validation of Artificial Intelligence Prediction Models Based on Multimodal, Non-contact Captured Information in Predicting Coronary Artery Disease
China National Center for Cardiovascular Diseases · NCT06092801
This study is testing whether using non-contact information like facial data and gait analysis can help predict coronary artery disease in people who are suspected of having it.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 998 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | China National Center for Cardiovascular Diseases (other gov) |
| Locations | 1 site (Beijing, Beijing) |
| Trial ID | NCT06092801 on ClinicalTrials.gov |
What this trial studies
This observational study aims to evaluate the effectiveness of various non-contact bio-physiological information modalities, such as facial RGB data, infrared thermography, gait analysis, and wearable device metrics, in predicting coronary artery disease (CAD). Participants suspected of CAD and referred for evaluation will provide data to develop and validate artificial intelligence models for CAD prediction. The study seeks to identify the most effective combination of these modalities to enhance predictive accuracy.
Who should consider this trial
Good fit: Ideal candidates are individuals suspected of coronary artery disease who are referred for coronary angiography or coronary computed tomography angiography.
Not a fit: Patients who have undergone prior coronary interventions or have conditions affecting the non-contact data collection will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved early detection of coronary artery disease, allowing for timely intervention and better patient outcomes.
How similar studies have performed: While the use of AI in predicting CAD is an emerging field, this specific approach utilizing multimodal non-contact information is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Suspected individuals referred to for coronary angiography or coronary computer tomography angiography. Exclusion Criteria: * Prior percutaneous coronary intervention (PCI) * Prior coronary artery bypass graft (CABG) * Undergoing confirmatory coronary evaluation as pre-operation routines for other cardiac diseases * With artificial body alteration (e.g. cosmetic surgery, facial trauma, or make-up) that may affect the non-contact information of study interest * Age less than 18 years old * Other circumstances that prevent participants from cooperating with the study process * Decline to consent for study participation
Where this trial is running
Beijing, Beijing
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College — Beijing, Beijing, China (RECRUITING)
Study contacts
- Principal investigator: Shen Lin, M.D., Ph.D. — Fuwai Hospital, CAMS & PUMC
- Study coordinator: Shen Lin, M.D., Ph.D.
- Email: linshen@fuwai.com
- Phone: 8610-88398027
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Coronary Artery Disease