Artificial intelligence is taking on medical tasks once reserved for only highly trained medical specialists — and in many cases outperforming its human counterparts. - NBCNewsMACH
Unlike a conventional monitoring system, AI is often able to predict problems hours in advance; doctors and nurses get a calm, text-message warning rather than having to respond to an urgent alarm signaling that a patient is already in trouble.
Barton said he received positive feedback from floor nurses during the AI study at UCSF."The charge nurse of the floor will report that the number of false alarms has gone way down," he said."It's making their work faster and more efficient."Most of the intelligent ICU systems that have been implemented so far rely on a form of artificial intelligence known as machine learning.
Within ICUs, these systems"learn" from the constant stream of data from vital monitors and electronic medical records. In so doing, AI assistants can ignore false red flags and focus on meaningful patterns that indicate real risk. The more data that is fed into these machines, the more accurate their predictions.
As a bonus, AI models can hunt for meaningful patterns among massive databases of electronic medical records — absorbing far more data than a human would ever be able to review. "I would love to have a 100-year work experience to detect some of these rare cases, but I simply don’t," says Alexander Meyer, a computer scientist and cardiovascular surgeon at the German Heart Center Berlin in Germany."If a machine has this experience and can decode this [data], it’s extremely helpful."
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