Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study
Abstract Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause adverse events, including poor survival rates; however, continuous pain evaluation is difficult. Vital signs have traditionally been considered ineffective in pain assessment; nevertheless, th...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-84714-8 |