Diagnostic Imaging's A Look Ahead: June 7, 2021, to June 11, 2021
Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
Women in radiation oncology are lagging behind in numbers compared to other specialties. Look for an article this week that discusses novel interventions detailed in Advances in Radiation Oncology that are designed to increase recruitment.
For more content on women in radiology, click here.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Real-world success with artificial intelligence is enticing, but it can also be elusive. Look for a column this week from David Gruen, M.D., chief medical officer for IBM Watson Health Imaging where he shares insights on how one health system is making it work.
For more artificial intelligence coverage, click here.
Radiology is widely known as the technology leader in healthcare. To maintain that status, radiologists should stay involved with development. This week, Jack Cerne, M.D., a clinical research associate in cardiovascular MRI from Northwestern University, discusses the role and responsibility of radiologists in pushing technology developments forward.
For other content on radiologists and technology, click here.
New Collaboration Offers Promise of Automating Prior Authorizations in Radiology with AI
March 26th 2025In addition to a variety of tools to promote radiology workflow efficiencies, the integration of the Gravity AI tools into the PowerServer RIS platform may reduce time-consuming prior authorizations to minutes for completion.
The Reading Room Podcast: Emerging Trends in the Radiology Workforce
February 11th 2022Richard Duszak, MD, and Mina Makary, MD, discuss a number of issues, ranging from demographic trends and NPRPs to physician burnout and medical student recruitment, that figure to impact the radiology workforce now and in the near future.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
