Radiographers trained to recognize certain findings on screening mammograms could help address the worldwide shortage of radiologists. 

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

While the incidence of lung cancer did not significantly differ from start to finish, stage-specific incidence did.

Experts compared the cortical thickness of three bones—the radius, tibia and second metatarsal—of 200 volunteers who had undergone prior bone mineral density measurements to evaluate the ultrasound method’s accuracy.

Nearly 20% of the women included in the study did not complete their follow-up imaging at all, and out of the 3,648 women who did adhere to additional imaging, 23.3% delayed their exams beyond the recommended 60-day period.

Many women who receive their mammogram results on the same day as their exam report feeling better about their overall experience. 

The new analysis included 43,000 eligible U.S. veterans, 32% of whom were observed to have declined annual CT screening for lung cancer.

Multiple areas of architectural distortion visualized on digital breast tomosynthesis (DBT) exams are likely to produce high-risk pathology results.