April 2019

Editor's Choice: 10 Important Stories from April ()
Handheld ultrasound market could surpass $400M | New FDA draft guidance examines quantitative imaging functions ()
Week in Review: Why radiologists won’t be replaced by deep learning | A new way to battle burnout ()
How genetic testing could cut healthcare costs by $50M | Radiologists, referring physicians share reporting preferences ()
How AI improves cancer detection rates | Imaging data links obesity to changes in the brain ()
Why radiologists won’t be replaced by deep learning | How to implement abbreviated protocols into practice ()
A new way to battle burnout | AI trained to detect catheters in pediatric x-rays ()
Artificial Intelligence | April 2019 ()
Week in Review: Bill would prevent self-referrals for imaging services | RBMA 2019 PaRADigm | VR, AR in radiology ()
4 ways VR, AR will change radiology | Coverage from RBMA 2019 PaRADigm | AMGA opposes self-referral bill ()
Leadership | April 2019 ()
How does CDS impact imaging utilization? | Brand new content from the Radiology Business Journal ()
Policy | April 2019 ()
Salary update: What radiologists are taking home in 2019 ()
Radiology's average salary up 4% in 2019 | Spanish-language reading materials too complex ()
Quality | April 2019 ()
How machine learning will impact healthcare providers | 7T MRI scans track lesion progression ()
Care Delivery | April 2019 ()
Should women with dense breasts pursue additional screening? | FDA's new AI framework ()
AI model predicts breast cancer risk from a single MR image | How DBT benefits older women ()
The world's first total-body PET/CT scanner in action | ACR Appropriateness Criteria gets an update ()
Imaging Informatics | April 2019 ()