More than 70% of hospitals reported using predictive tools last year, but small, rural, independent and critical-access ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

In the words of famous people such as Nobel laureate Neils Bohr and baseball legend Yogi Berra, predictions are very difficult, especially if they’re about the future. In this special Breaking ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

In a world where brand loyalty is fleeting and customer attitudes are changing by the hour, predicting—rather than just reacting—has been a game-changer. The future of customer experience (CX) is ...

This new article publication from Acta Pharmaceutica Sinica B, discusses an AI-integrated quality prediction and diagnostics framework that could transform small-sample pharmaceutical manufacturing ...

The Consumer Technology Association (CTA) has released a new artificial intelligence standard that requires model developers ...

The savviest billionaire traders are placing their bets on budding prediction marketplaces. Thanks in part to Trumpworld ...