Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

A new AI algorithm developed by researchers at the University of Alberta in Edmonton, Alberta, Canada, can identify lung tumors from MRI scans faster than other advanced methods.

The Radiology Business Management Association (RBMA) and Ultrasound Access Coalition (UAC) have released a statement highlighting their opposition to the $112 million in Medicare ultrasound reimbursement cuts planned by CMS.

At an academic health system in Boston, referring physicians have been ordering more breast MRI scans since Massachusetts mandated that mammographers inform patients in writing of their breast density.

Researchers from Johns Hopkins University School of Medicine in Baltimore, Maryland, have used PET scans to identify biomarkers that may help predict which breast cancer patients can avoid chemotherapy treatment.

The American Medical Association (AMA) is calling for continued efforts to reduce physician burnout even after new research has found that notable progress is being made in that area. 

The American Society of Radiologic Technologists (ASRT) has announced the winners of the ASRT Foundation’s annual International Speakers Exchange Award.

A 23-year-old woman with a long family history of cancer underwent a double prophylactic mastectomy after a genetic test revealed she was positive for the BRCA1 mutation.

Imaging Innovation Awards will recognize private radiology practices and/or hospital radiology departments that have combined creative thinking with coordinated teamwork to develop a notably original breakthrough in some particular aspect of medical imaging. Enter today!