Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

6864 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-07-10

Study Completion Date

2019-08-02

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

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

NCT06092801

Coronary Artery Disease

COMPLETED

AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population

NCT07277686

Coronary Artery Disease (CAD) Artificial Intelligence Algorithms Face +1 more

RECRUITING

Using Retinal Photograph Based AI to Predict Incident Coronary Heart Disease

NCT06695273

Coronary Heart Disease (CHD)

NOT_YET_RECRUITING NA

Risk Prediction of Disease Progression in Early-Onset Coronary Atherosclerosis

NCT07316452

Coronary Disease Young Adult

RECRUITING

Performance Evaluation of Artificial Intelligence Screening Model in Coronary Heart Disease Detection

NCT06658600

Coronary Heart Disease

ACTIVE_NOT_RECRUITING NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Coronary Artery Disease

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Model establishment and test group

Patients undergoing coronary angiography or coronary computer tomography angiography will be enrolled. Patients data will be used to establish the facial based diagnostic model of coronary artery diseases, and to prospectively validate the diagnostic effectiveness of the model.

No intervention

Intervention Type OTHER

No intervention

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

No intervention

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Undergoing coronary angiography or coronary computer tomography angiography
* Written informed consent

Exclusion Criteria

* Prior percutaneous coronary intervention (PCI)
* Prior coronary artery bypass graft (CABG)
* Screening coronary artery disease before treating other heart diseases
* Without blood biochemistry outcome
* With artificially facial alteration (i.e. cosmetic surgery, facial trauma or make-up)
* Other situations which make patients fail to be photographed

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes