BI-RADS 4 lesions are considered among the most difficult and suspicious category of breast lesions.

“With the ability to understand each of the different domains and translate between the experts in these domains, imaging informaticists are now essential players in the development, evaluation and deployment of AI in the clinical environment.”

Manufacturers, hospitals, physicians and patient advocates have put significant marketing resources—including millions of dollars—into selling 3D mammograms to women, despite little evidence the modality is better than traditional mammography.

The number of vacant radiographer positions that are actively being recruited has risen, with many disciplines reaching their highest marks in more than a decade, according to new research from ASRT.

Using the quiet protocol reduced noise levels and improved imaging success rates compared to conventional MRI, according to authors of a new study published in Academic Radiology.

“A better understanding of how age and comorbid conditions affect mammography use may help target specific populations and improve use of preventive care," wrote Cindy Yuan, MD, PhD, with the University of Chicago’s Department of Radiology, and colleagues.

Trained on nearly 1 million screening mammography images, researchers from New York University found their algorithm could push radiologists’ ability to accurately identify breast cancer to nearly 90%.

"We've been telling patients that even if these injections don't relieve your pain, they're not going to hurt you," said study author Ali Guermazi, MD, PhD. "But now we suspect that this is not necessarily the case."

"The AI we use works almost like magic—and it will help radiologists save lives," said Antonio Sze-To, a postdoctoral fellow who worked on the project.

Overall rates of low-value diagnostic cardiovascular testing—including imaging—have dropped over the past 10 years, while rates of high-value, guideline-recommended testing rose slightly.