Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm-Reference-Cited by-同舟云学术

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

Published:2020-07-31 Issue:5 Volume:1 Page:857-864
ISSN:2688-1152
Container-title:Journal of the American College of Emergency Physicians Open
language:en
Short-container-title:Journal of the American College of Emergency Physicians Open

Author:

Blaivas Michael¹,Adhikari Srikar²,Savitsky Eric A.³,Blaivas Laura N.⁴,Liu Yiju T.⁵

Affiliation:

1. Department of Emergency Medicine, St. Francis Hospital, School of Medicine University of South Carolina Columbus South Carolina USA

2. Department of Emergency Medicine, School of Medicine University of Arizona Tucson Arizona USA

3. Department of Emergency Medicine, UCLA David Geffen School of Medicine UCLA Ronald Reagan Medical Center Los Angeles California USA

4. Department of Emergency Medicine, Harbor‐UCLA Medical Center, David Geffren School of Medicine UCLA Los Angeles California USA

5. Michigan State University‐East Lansing East Lansing Michigan USA

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/emp2.12206

Reference21 articles.

1. Role of inferior vena cava diameter in assessment of volume status: a meta-analysis

2. Point‐of‐care ultrasound assessment of the inferior vena cava in mechanically ventilated critically Ill children;Basu S;J Ultrasound Med,2020

3. Accuracy of Ultrasonographic Measurements of Inferior Vena Cava to Determine Fluid Responsiveness: A Systematic Review and Meta-Analysis

4. Echography of the inferior vena cava for estimating fluid removal from patients undergoing hemodialysis;Kusaba T;Nihon Jinzo Gakkai Shi,1996

5. Interrater agreement between expert and novice in measuring inferior vena cava diameter and collapsibility index

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