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RECRUITING
NCT07061548

Algorithm Predicting Intraoperative Changes in Cardiac Output Using Capnography

Sponsor: Samsung Medical Center

View on ClinicalTrials.gov

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

OTHER

No Intervention: Observational Cohort

No intervention

Locations (1)

Samsung Medical Center

Seoul, South Korea