Development and Validation of Artificial Intelligence Prediction Models Based on Multimodal, Non-contact Captured Information in Predicting Coronary Artery Disease
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 2,978
- 试验地点
- 1
- 主要终点
- Sensitivity of algorithm
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Suspected individuals referred to for coronary angiography or coronary computer tomography angiography.
排除标准
- •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
结局指标
主要结局
Sensitivity of algorithm
时间窗: At the end of enrollment (1 mouth)
Sensitivity of algorithm in predicting coronary artery disease assessed in test group
Specificity of algorithm
时间窗: At the end of enrollment (1 mouth)
Sensitivity of algorithm in predicting coronary artery disease assessed in test group
次要结局
- Area under receiver operating curve (AUC)(At the end of enrollment (1 mouth))