Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos
Published in Frontiers in Physiology, 2022
This work studies a non-contact thermal imaging pipeline for continuous monitoring and early prediction of hemodynamic shock in pediatric intensive care. It combines computer vision, physiological signals, and predictive modeling for practical ICU use.
Recommended citation: Singh, P. et al. (2022). Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos.
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