Companies such as Google, Facebook and Amazon.com understand this lesson well, which is why you start seeing ads for products that you’ve looked at online about five seconds after you browsed for them ...

Cleveland Clinic developed a predictive model to identify patients at risk of developing gastric (stomach) cancer who may benefit from stomach cancer screening. The model is designed to identify who ...

Making eligibility decisions based on trends seen in past cases, rather than explicit criteria, is a feasible approach to clinical trial recruitment that is both compatible with data structures found ...

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 ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

Certilytics Inc., a leading innovator in AI-driven healthcare intelligence, today announced the expansion of its strategic collaboration with IKS Health, a global leader in care enablement solutions.

The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...

Approximately half of the adults in the United States (116 million) have high blood pressure, or hypertension, with 91.7 million needing prescription medication in addition to lifestyle changes. As of ...

Healthcare data leaders are advancing a 'data health' approach that incorporates continuous monitoring, governance, and predictive analytics to identify and address risks before they affect operations ...

Although generative AI has captured headlines in recent years, many companies have opted to invest more in predictive AI applications. These technologies are often more directly beneficial to business ...