Healthcare is jam-packed with complex data stored in multiple places and evolving every day. That makes it a great target for the form of artificial intelligence known as machine learning. Oxford ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

In a recent study published in the Nature Medicine journal, researchers assessed the efficacy of the machine learning model in the prediction of mental health crises. The timely recognition of ...

High labor expenses pummeled hospital margins last year, and many facilities continue to struggle financially even as pressure lifts for some providers. Those financial challenges, combined with the ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

As the country moves toward value-based care, artificial intelligence and machine learning – paired with data interoperability – have the potential to improve patient outcomes while driving ...

Healthcare generates huge amounts of data, but interpreting that data can be overwhelming for people to handle on their own. This is where AI and machine learning can deliver value. During a ...

The Operationalization Gap. It’s the chasm between innovation and everyday practice that is a challenge for all large organizations. Hospital executives will likely not be surprised to learn that the ...

Today our grumpy guru Leo discusses the topics of Net Neutrality, Nvidia enabling Machine Learning on the Titan, Kaspersky ...