Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos

Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos

Shock is one of the major killers in intensive care units, and early interventions can potentially reverse it. In this study, we advance a noncontact thermal imaging modality for continuous monitoring of hemodynamic shock working on 1,03,936 frames from 406 videos recorded longitudinally upon 22 ped...

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Bibliographic Details
Main Authors: Vanshika Vats, Aditya Nagori, Pradeep Singh, Raman Dutt, Harsh Bandhey, Mahika Wason, Rakesh Lodha, Tavpritesh Sethi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Physiology
Subjects:
hemodynamic shock
deep learning
ICU—intensive care unit
artificial intelligence
thermal imaging
computer vision
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.862411/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.862411/full

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