Toward Smart, Automated Junctional Tourniquets—AI Models to Interpret Vessel Occlusion at Physiological Pressure Points

Toward Smart, Automated Junctional Tourniquets—AI Models to Interpret Vessel Occlusion at Physiological Pressure Points

Hemorrhage is the leading cause of preventable death in both civilian and military medicine. Junctional hemorrhages are especially difficult to manage since traditional tourniquet placement is often not possible. Ultrasound can be used to visualize and guide the caretaker to apply pressure at physio...

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Bibliographic Details
Main Authors: Guy Avital, Sofia I. Hernandez Torres, Zechariah J. Knowlton, Carlos Bedolla, Jose Salinas, Eric J. Snider
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Bioengineering
Subjects:
machine learning
ultrasound imaging
artificial intelligence
tourniquet application
hemodynamics
tissue phantom
Online Access:https://www.mdpi.com/2306-5354/11/2/109

Internet

https://www.mdpi.com/2306-5354/11/2/109

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