Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

Panelists discuss how clinical decision support tools, care pathways, and artificial intelligence can address primary care workforce shortages by providing real-time guidance, predictive modeling for ...

In the digital age, health innovation is no longer confined to the sterile boundaries of laboratories or the corridors of hospitals. A quiet revolution is underway—one that brings together the ...

One key driver includes patient data integration into mobile health platforms. Advances in artificial intelligence (AI), machine learning, and data analytics are expected to improve predictive ...

CAR T-cell therapy has revolutionized cancer treatment for B cell and plasma cell malignancies, turning patients’ own immune cells into cancer-fighting superheroes—but even superheroes can cause ...

There are lessons that market researchers can take from the way that football enthusiasts have embraced data to improve their analysis of the beautiful game, writes Jon Puleston. Fantasy football ...

Prediction analytics changes sports betting from guessing to strategizing. An activity that was solely based on the bettor's ...