Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan.
Francesca PennatiAndrea AlivertiTommaso PozziSimone GattarelloFabio LombardoSilvia CoppolaDavide Alberto ChiumelloPublished in: Annals of intensive care (2023)
O represented an easy-to-apply tool to classify ARDS patients in recruiters and non-recruiters according to both radiologically defined and gas exchange-defined lung recruitment within the first 48 h from the start of mechanical ventilation.
Keyphrases
- acute respiratory distress syndrome
- mechanical ventilation
- extracorporeal membrane oxygenation
- machine learning
- intensive care unit
- computed tomography
- end stage renal disease
- respiratory failure
- ejection fraction
- newly diagnosed
- magnetic resonance imaging
- peritoneal dialysis
- prognostic factors
- dual energy
- contrast enhanced
- artificial intelligence
- image quality
- patient reported outcomes
- deep learning
- patient reported