Harnessing AI to boost the fight against hospital-acquired sepsis

20 March, 2020

One in five global deaths are related to sepsis, and many cases are linked to hospitalization and medical devices. Sepsis can progress quickly, and is hard to treat in the later stages, so speed of diagnosis is critical. AI and machine learning bring a new dimension to clinical decision support, predicting a patient’s likelihood of developing sepsis so diagnosis and treatment can happen sooner.

While AI and machine learning have the potential to improve the survival rate of hospital-acquired sepsis, there are challenges preventing widespread uptake. We unravel the complexity and identify issues that medical equipment manufacturers may need to overcome to aid the fight against sepsis.


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