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

Study Overview
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Brief Summary
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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
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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.

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

Conditions
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Coronary Artery Disease

Intervention / Treatment
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* Other: No intervention


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Suspected individuals referred to for coronary angiography, coronary computer tomography angiography, or functional stress tests. 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

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Individuals suspected of coronary artery disease<br>Individuals suspected of coronary artery disease and referred for evaluation | Other: No intervention<br>* No intervention<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Sensitivity of algorithm | Sensitivity of algorithm in predicting coronary artery disease assessed in test group | At the end of enrollment (1 mouth) | 
| Specificity of algorithm | Sensitivity of algorithm in predicting coronary artery disease assessed in test group | At the end of enrollment (1 mouth) | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Area under receiver operating curve (AUC) | Area under receiver operating curve of algorithm in predicting coronary artery disease assessed in test group | At the end of enrollment (1 mouth) |