Business Intelligence

Most physicians rightly laugh off talk of their profession’s coming demise at the hands of AI. But more than a few are taking the blossoming technology into account when making career decisions.

A graduate-level program that will award certificates on the ethical use of AI across various spheres, including healthcare, is set to launch next month at San Francisco State University.

Healthcare AI has been slow to gain a firm foothold across Europe for two reasons, according to a report published in Science|Business July 1.

While Google has ventured into the healthcare field with various technologies and tools, it is also collecting vast amounts of healthcare data through these tools and through deals with healthcare stakeholders.

Hospital operating rooms hoping to keep up with their competition during a forecasted $2.5 billion spending spree need to invest in integrating robotics to improve precision, virtual reality to inform pre-surgery planning and AI to analyze risks.

Mount Sinai Health System, a New York-based hospital network, is working on a series of digital news segments with Discovery’s Science Channel to reveal innovations in science and medicine, including AI.

Paralleling its drive for greater transparency in hospital and insurer pricing, the Trump Administration is calling for AI to be made more readily understandable in all industries using it, including healthcare.

Healthcare improvement company Premier has teamed up with a cognitive supply chain company, Pensiamo, to tackle drug supply chain with a new AI-powered solution.

A multidisciplinary task force of 14 European AI experts has come up with a set of broad guidelines for anyone using the technology to analyze big data in healthcare.

A Harvard Law School professor is warning that AI may be hazardous to the health of U.S. healthcare.

IBM, along with KPMG, Merck and Walmart have been selected by the FDA to participate in a blockchain project that aims to improve the drug supply chain.

A San Francisco-based startup that uses a proprietary machine-learning platform to identify the care needs of covered employees has raised $205 million to “address fundamental health insurance service issues that plague U.S. consumers and employers alike.”