Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan

BACKGROUND: To develop and validate classifier models that could be used to identify patients with a high percentage of potentially recruitable lung from readily available clinical data and from single CT scan quantitative analysis at intensive care unit admission. 221 retrospectively enrolled mecha...

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Detalles Bibliográficos
Autores principales: Pennati, Francesca, Aliverti, Andrea, Pozzi, Tommaso, Gattarello, Simone, Lombardo, Fabio, Coppola, Silvia, Chiumello, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322807/
https://www.ncbi.nlm.nih.gov/pubmed/37405546
http://dx.doi.org/10.1186/s13613-023-01154-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322807/
https://www.ncbi.nlm.nih.gov/pubmed/37405546
http://dx.doi.org/10.1186/s13613-023-01154-5

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