The Nanox.ARC X system reportedly provides enhanced 3D imaging for a variety of indications, ranging from pulmonary imaging and intra-abdominal views to musculoskeletal assessment.

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.

Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

An emerging nomogram model for intra-tumoral heterogeneity quantification with breast MRI demonstrated an average 85 percent sensitivity in external validation testing for predicting pathologic complete response to neoadjuvant chemotherapy for breast cancer.

Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.