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Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography
Sponsor: Samsung Medical Center
Summary
Conventional monitoring of cardiac output requires an invasive procedure and an additional device, which can lead to increased risk and cost. Investigators developed an artificial intelligence algorithm to predict intraoperative changes in cardiac output using capnography in patients undergoing surgery under general anesthesia.
Official title: Development of an Artificial Intelligence Model for Predicting Intraoperative Changes in Cardiac Output Using Capnography During General Anesthesia
Key Details
Gender
All
Age Range
19 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
2005
Start Date
2025-07-03
Completion Date
2025-12-31
Last Updated
2025-07-18
Healthy Volunteers
No
Interventions
No Intervention: Observational Cohort
No intervention
Locations (1)
Samsung Medical Center
Seoul, South Korea