ACR Bulletin August 2017
Here's what you missed
The Bulletin team has loved our time at ACR 2017. Radiologists engaged with patients, grew confident in the role with machine learning, advocated on the Hill, and learned about the most important topics facing the specialty, among countless other activities. We've rounded up some of the best news from the meeting in case you've missed it. See you next year at ACR 2018!
Radiology and the Evolution of Battlefield Medicine
Imaging has been integral to wartime medicine since the early days of radiology. How is the specialty adapting to support the changing needs of patients on the battlefield?
When you picture the development of military medicine, how prominently does imaging factor in? The evolution of radiology has been intertwined with modern-day warfare for the past 120 years.
The crème de la crème of Case in Point
Discover the Case in Point community’s favorite cases.
Each month, we sift through thousands of reviews by the Case in Point community to find the best cases. Here’s your chance to take a look at the cases that made the cut and to get to know the authors.
How has social media influenced you as a radiologist?
Given that there are relatively few women in radiology and particularly interventional radiology, social media platforms allow me to connect with other women in our field more easily than in my day-to-day practice.
When Opportunity Knocks
An insider's look at health system leadership and how to get there from here
Three radiologists embark on a journey that takes them from internship to leadership. No, that's not the opening line of a joke.
The Cornerstone of Radiology Economic Policy: Our Volunteers
The members of the ACR Commission on Economics make far-reaching contributions to health care.
As the chair of the ACR Commission on Economics, I lead more than 700 devoted volunteers. This column allows me to thank these volunteers and invite more ACR members to join us.
Forecasting the Legal Implications of AI
New deep-learning technologies entering the health-care space bring a host of unknowns for patients and physicians.
Artificial intelligence (AI) represents a transformative technology that has the potential to disrupt the field of radiology, potentially more than any other health-care technology in recent memory.