Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia

Ventilation should be assisted without asynchrony or cardiorespiratory instability during anesthesia emergence until sufficient spontaneous ventilation is recovered. In this multicenter cohort study, we develop and validate a reinforcement learning-based Artificial Intelligence model for Ventilation...

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Detalles Bibliográficos
Autores principales: Lee, Hyeonhoon, Yoon, Hyun-Kyu, Kim, Jaewon, Park, Ji Soo, Koo, Chang-Hoon, Won, Dongwook, Lee, Hyung-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425339/
https://www.ncbi.nlm.nih.gov/pubmed/37580410
http://dx.doi.org/10.1038/s41746-023-00893-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425339/
https://www.ncbi.nlm.nih.gov/pubmed/37580410
http://dx.doi.org/10.1038/s41746-023-00893-w

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