When Merritt Hawkins published its 2018 Review of Physician and Advanced Practitioner Recruiting Incentives, it contained some exciting news for radiologists: after a rough few years earlier this decade, the radiology job market has climbed back with a vengeance.

In a California emergency room, a trauma patient in critical condition is wheeled in following a motorcycle accident. In Texas, a patient presenting with stroke-like symptoms is brought into the hospital by frantic family members.

To meet the latest guidelines on promptness from the American Heart Association (AHA) and American Stroke Association (ASA), providers must image suspected stroke patients within 20 minutes of their arrival. For a brain deprived of oxygen by a blood clot, every second counts.

Medical historians may one day look back on 2018 as the year having a stroke stopped bringing an inescapably bleak prognosis to victims who went a while before noticing the symptoms.

The Miami Cancer Institute (MCI) started nearly 10 years ago as a collection of widely distributed service lines without an identifiable physical presence. The idea was to bring together local and regional cancer experts from every medical discipline and every support service. The vision was mass collaboration around providing world-class cancer care to patients from across the Southeastern U.S. as well as Latin America and the Caribbean.

Natural language processing (NLP)—the concept of training computer programs to extract specific content from words and phrases—has existed in one form or another since the 1950s, but its potential to impact radiology has only been brought into focus in recent years. Vendors all over the world, including vRad, a MEDNAX company, are working around the clock to see just how much NLP can do to revolutionize healthcare—and they are finding that it can do quite a lot.

Today’s radiology leaders face a significant number of challenges, including complex reimbursement policies, evolving technologies, and increasing demands for 24/7 subspecialty care. MEDNAX Radiology Solutions hosted a webinar on Feb. 21, 2018, that focused on these challenges and what leaders can do to ensure their practices thrive in today’s growing, competitive marketplace.

To the surprise of absolutely no one, artificial intelligence (AI) and deep learning technologies were the talk of RSNA 2017 in Chicago. More than 70 sessions were devoted to AI, and you couldn’t walk ten feet without reading or hearing the words “machine learning” or “algorithm.”