“Our results may help in planning medical injury surveillance systems for future large-scale sports events tailored for each specific sport and may potentially aid in developing preventive efforts before and during competition,” wrote the authors of a Feb. 21 study published in Academic Radiology.

Two more surveys have been released showing burnout affects nearly half of physicians. But at this point, some are getting frustrated with the inability to move beyond awareness and toward meaningful improvement.

A CMS report found the problems at Johns Hopkins All Children’s Hospital in St. Petersburg, Florida, were more extensive than the pediatric heart unit, The Tampa Bay Times reported.

South Texas Radiology Imaging Centers, San Antonio, recently became the first healthcare institution in the United States to install the MAGNETOM Sola, a 1.5 Tesla (1.5T), 70-cm magnetic resonance imaging (MRI) scanner from Siemens Healthineers with a new magnet design in addition to BioMatrix patient personalization technology.

Exploring the performance of more than 100 radiologists, researchers found “no evidence of a learning curve” for clinically interpreting digital breast tomosynthesis (DBT) examinations.

Crossover Health, a leading provider of comprehensive health services for self-insured employers, announced today that it has acquired the exclusive rights to the technology platform developed by Sherpaa Health, the pioneer of virtual primary care.

Niramai Health Analytix, an India-based AI startup, announced that it has closed a $6 million Series A round of funding.

Julia Graspa, MD, PhD, will oversee the JACC: Case Reports publication, which will start in June, while Bonnie Ky, MD, will be editor-in-chief JACC: CardioOncology when it launches in September. They are the first two women to be editors-in-chief of a JACC journal.

The technique, which combines MRI with a manganese-based contrast agent, could help researchers better understand how neurons communicate in the brain, according to the study published online Feb. 22 in Nature Communications. 

A new machine learning model allows for physicians to determine whether atypical ductal hyperplasia (ADH) could upgrade to cancer, according to new research published in JCO Clinical Cancer Informatics. The model can identify 98 percent of all malignant cases prior to surgery, while sparing 16 percent of women from unnecessary surgeries.