Coronary Artery Disease Clinical Trial
Official title:
Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
The purposes of this study are 1) to explore the association between facial characteristics and the increased risk of coronary artery diseases; 2) to evaluate the diagnostic efficacy of appearance factors for coronary artery diseases.
Several age-related appearance factors were described associated with increased risk of
coronary artery diseases (CAD). However, several limitations made these facial risk factors
hard to be utilized in clinical practice, including 1) low prevalence in CAD patients, 2)
lack of specific definition, 3) poor reproducibility in artificial recognition.
Thus, the investigators designed a multi-center, cross-sectional study to explore the
association between facial characteristics and CAD and evaluate the diagnostic efficacy of
appearance factors for CAD. The investigators will recruit patients undergoing coronary
angiography or coronary computer tomography angiography. Patients' baseline information and
facial images will be collected. First, the investigators will explore the facial factors
associated with CAD by using artificial intelligence technology to compare facial photographs
between patients with CAD and without CAD. Secondary, the investigators will evaluate the
dose-response relationship between facial characteristics and CAD. Third, the investigators
will establish a CAD risk model based on facial factors, and evaluate the diagnostic effect
of the model.
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