Status:
UNKNOWN
Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus Photographs
Lead Sponsor:
Yong Zeng
Conditions:
Coronary Artery Disease
Artificial Heart Device User
Eligibility:
All Genders
18-80 years
Brief Summary
Artificial Intelligence, trained through model learning, can quickly perform medical image recognition and is widely used in early disease screening and assisted diagnosis. With the continuous optimiz...
Eligibility Criteria
Inclusion
- Eligible participants were ≥ 18 years of age, with clinically suspected CAD, and were scheduled for coronary angiography.
Exclusion
- The exclusion criteria were as follows: (i) prior percutaneous coronary intervention (PCI); (ii) prior coronary artery bypass graft (CABG); (iii) other heart disease (e.g., congenital heart disease, valvular heart disease, or macrovascular disease); (iv) inability to have photographs taken; and (v) and a diagnosis of ST-segment elevation myocardial infarction (STEMI). Prior to the coronary angiography procedure, all eligible patients provided informed consent to participate in the study and to have their photographs used for research purposes.
Key Trial Info
Start Date :
July 1 2021
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 30 2024
Estimated Enrollment :
7000 Patients enrolled
Trial Details
Trial ID
NCT06102226
Start Date
July 1 2021
End Date
December 30 2024
Last Update
October 26 2023
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Yong Zeng
Beijing, Beijing Municipality, China, 100029