Setting ventilation: what if tomorrow’s technology solutions were possible today?
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00134-024-07599-x.pdf
Reference6 articles.
1. Gattinoni L, Collino F, Camporota L (2024) Assessing lung recruitability: does it help with PEEP settings? Intensive Care Med 50(5):749–751
2. Briassoulis G, Briassoulis P, Miliaraki M, Ilia S (2024) Entangled in stagnant recruitment delusions. Intensive Care Med. https://doi.org/10.1007/s00134-024-07445-0
3. Collino F, Gattinoni L, Camporota L (2024) Are we ready to harness AI and digital modelling for precision in PEEP settings? Intensive Care Med 50(7):1177–1178
4. Caljé-van der Klei T, Sun Q, Chase JG, Zhou C, Tawhai MH, Knopp JL, Möller K, Heines SJ, Bergmans DC, Shaw GM (2024) Pulmonary response prediction through personalized basis functions in a virtual patient model. Comput Methods Programs Biomed 244:107988
5. Sun Q, Chase JG, Zhou C, Tawhai MH, Knopp JL, Möller K, Shaw GM (2022) Over-distension prediction via hysteresis loop analysis and patient-specific basis functions in a virtual patient model. Comput Biol Med 141:105022
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