A Deep Learning Framework for Predicting Patient Decannulation on Extracorporeal Membrane Oxygenation Devices: Development and Model Analysis Study.
Joshua FullerAlexey AbramovDana MullinJames R BeckPhilippe LemaitreElham AziziPublished in: JMIR biomedical engineering (2024)
The ability to interpret and integrate large data sets is paramount for creating accurate models capable of assisting clinicians in risk stratifying patients supported on VV-ECMO. Our framework may guide future incorporation of CEVVO into more comprehensive intensive care monitoring systems.
Keyphrases
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- deep learning
- end stage renal disease
- respiratory failure
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- case report
- palliative care
- high resolution
- current status
- intensive care unit
- artificial intelligence
- convolutional neural network