Machine learning personalizes oxygen levels for ventilated patients

Summary: 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.

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