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In Hospital ICUs, AI Could Predict Which Patients Are Likely to Die

spectrum.ieee.org March 7, 2017

With streams of data coming from equipment that monitors patients’ vital signs, the ICU seems the perfect setting to deploy artificially intelligent tools that could judge when a patient is likely to take a turn for the worse. "A lot of hospitals are interested in developing early warning systems that can predict life-threatening events like sepsis, cardiac arrest, and respiratory arrest," says Priyanka Shah of the ECRI Institute, a nonprofit that evaluates medical procedures, devices, and drugs for the health care industry.

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