Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilation strategies, and provide clinical decision support for patients who require mechanical ventilation. Gallifant and colleagues performed a systematic review to identify studies using AI to solve a diverse range of clinical problems in the ventilated patient. They identify 95 studies, the majority of which were reported in the last 5 yr. Their findings indicate that the majority of studies have significant methodological bias and are a long way from deployment.
Keywords: acute respiratory distress syndrome; artificial intelligence; critical care; machine learning; mechanical ventilation.
Copyright © 2021 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.