Diagnostic Imaging's Weekly Scan: September 24-September 30

Artificial intelligence (AI) software had a 14 percent false negative rate in a new study involving over 1,082 women with invasive breast cancer.

In a second part of a new podcast episode on recently published research on projected radiation-induced cancers from computed tomography (CT) scans, Mahadevappa Mahesh, MS, Ph.D., and Joseph Cavallo, M.D., offer current perspectives on cardiac CT dosing, AI advances and the importance of teamwork in ensuring appropriate dosing for CT.

The additional indication for the preparation kit of gallium Ga-68 gozetotide may facilitate earlier use of PSMA-targeted treatment for men with prostate cancer.

In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.

Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.

A new report conveys the cumulative impact of ongoing challenges with radiologist residency positions, reimbursement, post-COVID-19 attrition rates and the aging of the population upon the persistent shortage of radiologists in the United States.