Deep learning model to predict the need for mechanical ventilation using chest X-ray images in hospitalised patients with COVID-19.
Anoop R KulkarniAmbarish M AthavaleAshima SahniShashvat SukhalAbhimanyu SainiMathew ItteeraSara ZhukovskyJane VernikMohan AbrahamAmit JoshiAmatur AmarahJuan RuizPeter D HartHemant KulkarniPublished in: BMJ innovations (2021)
Our deep learning model accurately predicted the need for mechanical ventilation early during hospitalisation of patients with COVID-19. Until effective preventive or treatment measures become widely available for patients with COVID-19, prognostic stratification as provided by our model is likely to be highly valuable.
Keyphrases
- mechanical ventilation
- deep learning
- acute respiratory distress syndrome
- intensive care unit
- respiratory failure
- artificial intelligence
- high resolution
- computed tomography
- extracorporeal membrane oxygenation
- optical coherence tomography
- magnetic resonance imaging
- smoking cessation
- dual energy
- contrast enhanced
- community acquired pneumonia
- electron microscopy