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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Detalles Bibliográficos
Autores principales: Vats, Vanshika, Nagori, Aditya, Singh, Pradeep, Dutt, Raman, Bandhey, Harsh, Wason, Mahika, Lodha, Rakesh, Sethi, Tavpritesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340772/
https://www.ncbi.nlm.nih.gov/pubmed/35923238
http://dx.doi.org/10.3389/fphys.2022.862411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340772/
https://www.ncbi.nlm.nih.gov/pubmed/35923238
http://dx.doi.org/10.3389/fphys.2022.862411

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