Companies are spending heavily on AI, but many are still struggling to turn that investment into measurable business results.

Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon.  But a new study suggests that it might take a while for us to get there. The ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often ...

Background Machine learning (ML) could improve clinical decisions in patients with possible acute heart failure, but few studies have evaluated acceptance, and barriers or facilitators that lead to ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

Myofascial pelvic pain syndrome (MPPS) is a common but often underdiagnosed cause of chronic pelvic pain in women, significantly affecting quality of life. Early and accurate identification of ...