Like medical imaging itself, artificial intelligence (AI) and machine learning technologies have captured the collective imagination of the health care space not only because of their seemingly limitless potential to improve the universal standard of care, but also because of the complementary value they represent to various branches of medicine.
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By Erin Register Our featured “Rising Star” of the month is Bryana White, 29, from Atlanta, Georgia. She graduated from…
A recent study indicates that it might be a good idea for radiologists to give every patient a business card.…
By Matt Skoufalos During the workday, Brad Reed is the senior director of diagnostic imaging services at Oregon Health &…
Sponsored by Innovatus Imaging Although the name, Innovatus Imaging, has been around only since 2017 when Bayer MultiVendor Service, MD…
Sponsored by GE Healthcare GE Healthcare continues to deliver innovative ways to meet customers’ needs. Digital Expert is one of…
By Janel Byrne Often leaders feel the pressure to have all the answers. You might be thinking, “Well, yes –…
By Jef Williams As managing partner for a medical imaging consulting agency, I am required to attend between 5-10 conferences a…
Sponsored by Avante Health Solutions By Mark Muraski I’m sure most of us have heard the term “Bad Power.” In…
By Melody Mulaik Several edits were implemented January 1, 2020 which have caused many radiology providers angst with unexpected denials. The…
