How hospitals are using AI to treat ICU patients: 3 things to know

Intensive care units across the country are increasingly implementing artificial intelligence and machine learning technology to help sort through patients' medical data and predict and diagnose illnesses, NBC reports.

Three things to know:

1. ICUs collect numerous types of data from patients, including blood pressure, heartbeat and oxygen levels, among other vital signs.

"Critical care is essentially this interface between humans and technology," said Peter Laussen, chief of critical care medicine at Toronto's Hospital for Sick Children, according to the report. "The amount of data streaming from the patient in the ICU is huge."

2. In 2016, University of California San Francisco implemented an AI-powered alert system that notified clinicians hours in advance before a patient presented with sepsis, causing the death rate to decrease by more than 12 percent.

3. By analyzing vitals monitors and the patients' EHRs, AI is able to learn which red flags are false and zero-in on data patterns that identify actual risk.

More articles on artificial intelligence:
UnityPoint Health invests $1M in AI for lung analysis
Cincinnati Children's AI system reduces patient screening time by 34%
Children's National Health to apply AI to study ICU transitions

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