A narrative review of progress in the application of artificial intelligence in acute respiratory distress syndrome: subtypes and predictive models

BACKGROUND AND OBJECTIVE: Acute respiratory distress syndrome (ARDS) occurs in different populations, and it is very challenging to manage heterogeneous patient groups. Artificial intelligence (AI) aids in interpreting complex data of patients with ARDS and can be used to detect adverse events as it...

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Detalles Bibliográficos
Autores principales: Bai, Yu, Huang, Xu, Xia, Jingen, Zhan, Qingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929814/
https://www.ncbi.nlm.nih.gov/pubmed/36819521
http://dx.doi.org/10.21037/atm-22-3153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929814/
https://www.ncbi.nlm.nih.gov/pubmed/36819521
http://dx.doi.org/10.21037/atm-22-3153

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