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 ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

How does one get a win in this current era of skilled nursing? Trust machine learning technology to improve clinical interventions and outcomes. Paris Girginis, VP of Innovation and Reimbursement for ...

This week on “Podnosis,” we explore the pressing questions surrounding AI’s role in healthcare. From clinician trust to algorithm accuracy and patient privacy, there’s significant uncertainty about AI ...

Increasing surgical services revenue is a top priority for most health systems, but reliance on manual operating room scheduling and operational inefficiencies can impede these efforts. Often, poor ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Healthcare professionals from back-office procurement officials to c-suite finance executives are witnessing fiscal stresses on their organizations today at all levels of scale and scope of operation.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

The week before heading off to college, Harry Emerson was diagnosed with type 1 diabetes. Without the ability to produce insulin, the hormone that transports blood sugar to fuel other cells, he’d need ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.