In this new age of social media and physician scrutiny, the mes­sage is coming through loud and cloud to a growing number of radiol­ogists: define your brand before it de­fines you.

The "Global Medical Radiation Detection Market Analysis & Trends - Industry Forecast to 2025" report has been added to Research and Markets' offering. 

The power of social media has been accredited to reducing knowledge gaps, building communities, contributing to social movements and connecting individuals personally and professionally. But the online networking tools may be lacking in disseminating additional information that is vital to public knowledge.   

A study recently published by Journal of the American College of Radiology reveals promise through a trend of increased definitive reporting, while also calling for further education and training in reporting for radiologists.

A Radiology Express in Deerfield Beach, Florida, abruptly closed earlier this month, leaving patients without their medical records and other personal imaging information.  

The consternation of radiologists about the impact of artificial intelligence is real—but so are the benefits of machine learning. Recent research showed that deep learning with a convolutional neural network (CNN) was successful in differentiating liver masses in CT.

In a recent article published by JACR, University of Mississippi radiology faculty explained that the seemingly never-ending challenges in recruitment include the lack of competition once present in radiology, waning interest in the field and fewer students choosing radiology as their specialty every academic year.  

Approximately one-third of the information available online about CT radiation exposure is not completely accurate, according to a new study published in the Journal of the American College of Radiology.