An AI early-warning system that predicts which patients are at risk of deteriorating while in hospital was associated with a decrease in unexpected deaths, a new study says. Read this article for free: Already have an account? To continue reading, please subscribe: * An AI early-warning system that predicts which patients are at risk of deteriorating while in hospital was associated with a decrease in unexpected deaths, a new study says. Read unlimited articles for free today: Already have an account? An AI early-warning system that predicts which patients are at risk of deteriorating while in hospital was associated with a decrease in unexpected deaths, a new study says.
The study, published Monday in the Canadian Medical Association Journal, found a 26 per cent reduction in non-palliative deaths among patients in St. Michael’s Hospital’s general internal medicine unit when the AI tool was used. “We’ve seen that there is a lot of hype and excitement around artificial intelligence in medicine.
We’ve also seen not as much actual deployment of these tools in real clinical environments,” said lead author Dr. Amol Verma, a general internal medicine specialist and scientist at the hospital in Toronto. “This is an early example of a tool that’s deployed that was rigorously tested and evaluated and where it’s showing promise for actually helping improve patient care,” Verma, who is also a professor of AI research and education in medicine at the University of Tor.