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Clinical Impact of Intravascular Ultrasound-Based Artificial Intelligence Technologies (INNOVATE-PCI)
Sponsor: Asan Medical Center
Summary
This study is a prospective, multicenter study in the real practice to validate the diagnostic performances and clinical impact of coronary angiography \& intravascular ultrasound (IVUS)-based models developed by machine learning (ML).
Official title: Influence of Novel Intravascular Ultrasound-Based Artificial Intelligence Technologies on Event Reduction Following Percutaneous Coronary Intervention (INNOVATE-PCI)
Key Details
Gender
All
Age Range
19 Years - Any
Study Type
OBSERVATIONAL
Enrollment
3000
Start Date
2020-02-20
Completion Date
2029-06-30
Last Updated
2024-12-27
Healthy Volunteers
No
Conditions
Interventions
percutaneous coronary intervention
IVUS-guided stent implantation
Locations (16)
Soon Chun Hyang University Hospital Bucheon
Bucheon-si, South Korea
Gosin University Gospel Hospital
Busan, South Korea
Inje University Pusan Paik Hospital
Busan, South Korea
Gyeongsang National University Changwon Hospital
Changwon, South Korea
Kangwon National University Hospital
Chuncheon, South Korea
Keimyung University Dongsan Medical Center
Daegu, South Korea
The Catholic university of korea, daejeon st. mary's hospital
Daejeon, South Korea
Gangneung Asan Hospital
Gangneung, South Korea
Jesushospital
Jeonju, South Korea
Chungnam National University Sejong Hospital
Sejong, South Korea
Seung-Whan Lee
Seoul, South Korea
Kangbuk Samsung Medical Center
Seoul, South Korea
The Catholic university of korea, Eunpyeong st. mary's hospital
Seoul, South Korea
Veterans Hospital Service Medical Center
Seoul, South Korea
The Catholic University of Korea ST.VINCENT'S Hospital
Suwon, South Korea
Ulsan University Hospital
Ulsan, South Korea