Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study

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, the use of...

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Detalles Bibliográficos
Autores principales: Kobayashi, Naoya, Shiga, Takuya, Ikumi, Saori, Watanabe, Kazuki, Murakami, Hitoshi, Yamauchi, Masanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933166/
https://www.ncbi.nlm.nih.gov/pubmed/33664391
http://dx.doi.org/10.1038/s41598-021-84714-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933166/
https://www.ncbi.nlm.nih.gov/pubmed/33664391
http://dx.doi.org/10.1038/s41598-021-84714-8

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