Validation of the inadequate delivery of oxygen index in an adult cardiovascular intensive care unitCentral MessagePerspective

Validation of the inadequate delivery of oxygen index in an adult cardiovascular intensive care unitCentral MessagePerspective

Objective: Machine learning (ML) may allow for improved discernment of hemodynamics and oxygen delivery compared to standard invasive monitoring. We hypothesized that an ML algorithm could predict impaired delivery of oxygen (IDO2) with comparable discrimination to invasive mixed venous oxygen satur...

Full description

Saved in:
Bibliographic Details
Main Authors: Heather Holman, BS, Dimitar Baronov, PhD, Jeff McMurray, MD, Arman Kilic, MD, Marc Katz, MD, Sanford Zeigler, MD
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:JTCVS Open
Subjects:
machine learning
pulmonary artery catheterization
artificial intelligence
hemodynamic monitoring
critical care
Online Access:http://www.sciencedirect.com/science/article/pii/S2666273624002547
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items