Clinical Impact of Intravascular Ultrasound-Based Artificial Intelligence Technologies (INNOVATE-PCI)
NCT05807841 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000
Last updated 2024-12-27
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).
Conditions
Interventions
- PROCEDURE
-
percutaneous coronary intervention
IVUS-guided stent implantation
Sponsors & Collaborators
-
Boston Scientific Corporation
collaborator INDUSTRY -
Asan Medical Center
lead OTHER
Principal Investigators
-
Seung-Whan Lee, MD · Asan Medical Center
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-02-20
- Primary Completion
- 2028-06-30
- Completion
- 2029-06-30
Countries
- South Korea
Study Locations
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