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Prospective Validation of DL Model for Postoperative MACCE Prediction
Sponsor: Seoul National University Hospital
Summary
This study aims to prospectively validate a deep learning model developed using retrospective data to predict major adverse cardiac and cerebrovascular events (MACCE) occurring within 30 days after non-cardiac surgery. The validation will be performed using prospectively collected data from patients undergoing non-cardiac surgery under general or regional anesthesia.
Official title: Prospective Validation of Deep Learning Model to Predict Postoperative Major Adverse Cardiac and Cerebrovascular Event
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
7000
Start Date
2025-07-10
Completion Date
2025-12-31
Last Updated
2025-07-08
Healthy Volunteers
No
Locations (1)
Seoul National University Hospital
Seoul, South Korea