Machine learning models predict noninvasive support failure in acute respiratory failure with moderate accuracy
AI Predicts Breathing Trouble, But Can We Trust It Yet?
A systematic review and meta-analysis of 34,500 adults with acute respiratory failure found machine learning prediction models had a pooled …
A new computer program predicts breathing tube failure with 84% accuracy, but doctors must decide if this tool is ready to save lives.
Multi-component environmental control intervention shows feasibility for sleep promotion in ventilated ICU patients
Small pilot study tests sleep environment intervention for ventilated ICU patients
A pilot randomized controlled trial in 17 mechanically ventilated ICU patients with minimal sedation assessed the feasibility of a multi-com…
A small Chilean ICU study shows that dynamic lights, sound masking, and grouped care checks are feasible ways to help ventilated patients sl…