How AI can help radiologists diagnose, treat kidney cancers | Will policy updates lead to big savings?

Machine learning models using radiomics can help radiologists classify renal cell carcinomas (RCCs), according to new findings published in the American Journal of Roentgenology.

Imaging centers will get a little bit of relief under a final rule issued by the Trump administration in a bid to ease regulatory burdens on healthcare providers.

RSNA announced that it has hired the first female editor for its educational journal RadioGraphics.

Turner Imaging Systems, an Orem, Utah-based imaging technology company, has received FDA approval for its Smart-C portable fluoroscopy and x-ray system.

An Atlanta-based medical device company working to reduce radiation exposure during fluoroscopy has picked up $15 million in funding to fuel further growth.

Researchers have developed an AI algorithm that can help identify patients who have suffered a stroke and would benefit from an endovascular thrombectomy.

Artificial intelligence (AI) is still gaining momentum in 2019 as researchers build bigger and better algorithms and vendors release new, state-of-the-art solutions. For healthcare providers, however, the world of AI can still be intimidating in a lot of ways; if you haven’t already started exploring the potential of AI, where do you begin? What’s the first step?

Sen. Bernie Sanders (I-VT), a candidate for the Democratic presidential nomination, was sidelined from his campaign after it was reported he underwent a procedure for placement of two stents after chest discomfort revealed a blocked artery, The New York Times reported.