AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms

AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms

The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to compare for the first time the discriminative ability...

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Bibliographic Details
Main Authors: Victor A. Convertino, Robert W. Techentin, Ruth J. Poole, Ashley C. Dacy, Ashli N. Carlson, Sylvain Cardin, Clifton R. Haider, David R. Holmes III, Chad C. Wiggins, Michael J. Joyner, Timothy B. Curry, Omer T. Inan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
hemorrhage
shock
medical monitoring
compensatory reserve
machine learning
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/7/2642

Internet

https://www.mdpi.com/1424-8220/22/7/2642

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