Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm

Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm

Abstract Objectives We sought to create a deep learning algorithm to determine the degree of inferior vena cava (IVC) collapsibility in critically ill patients to enable novice point‐of‐care ultrasound (POCUS) providers. Methods We used publicly available long short term memory (LSTM) deep learning...

Full description

Bibliographic Details
Main Authors: Michael Blaivas, Srikar Adhikari, Eric A. Savitsky, Laura N. Blaivas, Yiju T. Liu
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Journal of the American College of Emergency Physicians Open
Subjects:
artificial intelligence
critical care
deep learning
fluid responsiveness
inferior vena cava
point‐of‐care ultrasound
Online Access:https://doi.org/10.1002/emp2.12206

Similar Items

Similar Items