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...

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Bibliographic Details
Main Authors: Naoya Kobayashi, Takuya Shiga, Saori Ikumi, Kazuki Watanabe, Hitoshi Murakami, Masanori Yamauchi
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-84714-8