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Study identifier: NCT07061548 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography

Condition: General Anesthesia Using Endotracheal Intubation  ·  Sponsor: Samsung Medical Center

PhaseN/A
Planned participants2005
Who can joinAll sexes, 19 Years to 75 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Heejoon Jeong, MD  ·  +82-2-3410-0841  ·  heejoonjeong@skku.edu

Always discuss trial participation with your own doctor first.

Locations (1)

Samsung Medical CenterSeoul, South KoreaRecruiting

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Source record: clinicaltrials.gov/study/NCT07061548