While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.

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.

Indicated for IV use, Gvoke VialDx reportedly inhibits movement of the gastrointestinal tract temporarily to facilitate abdominal X-rays.

New updates for the cardiac PET-based HeartSee v4.0 software include an emphasis on the evaluation of subendocardial ischemia and border zones.

While DCE MRI was deemed helpful in over 67 percent of cases in which it was used, researchers found that monitored prostate MRI exams, which facilitated a 75 percent reduction of DCE MRI sequences, had comparable sensitivity for prostate cancer as non-monitored exams.

What would it be like if we could use AI-powered voice modes as filters for radiology dictations?

Catch up on the top radiology content of the past week.

For immunocompromised individuals, denoised ultra-low-dose CT offers similar detail as normal-dose CT scans for pneumonia detection, according to a recent study.

Researchers found that a higher waist-to-hip ratio in midlife was associated with higher mean diffusivity in 26 percent of total white matter tracts in the cingulum as well as the superior and inferior longitudinal fasciculus.

Emphasizing intuitive workflow and portability, the Universal Wireless Probe reportedly offers a cost-effective combination of phased and linear ultrasound imaging.

Researchers found that use of 68Ga-FAPI PET was associated with pooled sensitivity of 90 percent for ovarian cancer, according to a recent meta-analysis.

Enabling radiographic and low-dose fluoroscopy exams in the same room, the Adora DRFi system emphasizes a variety of advances for flexibility with patient positioning.

In addition to a significant reduction of X-ray reading time, researchers found the use of multimodal generative AI assessment led to enhanced detection of pleural lesions and widened mediastinal silhouettes.

Multicenter research revealed that a combined model of clinical factors and ultrasound-based radiomics exhibited greater than a 23 percent higher per patient-level accuracy rate for identifying HER2 breast cancer than a clinical model.

Through AI-powered assessment of coronary computed tomography angiography (CCTA) scans, the CaRi-Plaque software may provide improved clarity on the development of coronary plaques and luminal stenosis.