Machine learning personalizes oxygen levels for ventilated patients

Machine learning is being used to personalize oxygen levels for ventilated patients. An estimated 13 to 20 million patients worldwide require mechanical ventilation annually. A study published in JAMA suggests personalized oxygenation targets could reduce mortality by 6.4%. The machine learning model considers individual patient characteristics like age, sex, and reason for ICU admission. This innovation could revolutionize critical care and improve patient outcomes significantly.