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A new study has found machine learning can significantly improve patient outcomes in the ICU.
Wellington intensive care specialist, Professor Paul Young, also Deputy Director of the Medical Research Institute, conducted the study with American colleagues.
Millions of patients around the world each year need oxygen on life support.
Professor Young's research focused on understanding how critically ill adults on life support respond to individualised oxygen targets.
He says by harnessing machine learning algorithms, they were able to generate precise predictions about how varying levels of oxygen would impact mortality rates among ICU patients on life support.
He tells Kathryn the discovery is nothing short of revolutionary.
