Clinical Trial

Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography

Recruiting
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Record status
This record was last updated July 18, 2025 (before its estimated December 31, 2025 completion). Its status may not reflect the trial's current state.
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.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-07-02.
Trial Details
NCT Number NCT07061548
Lead Sponsor Samsung Medical Center
Conditions General Anesthesia Using Endotracheal Intubation
Enrollment 2,005 participants
Start Date 2025-07-03
Primary Completion 2025-12-31 (estimated)
Study Completion 2025-12-31 (estimated)
Updated on ClinicalTrials.gov 2025-07-18