While the research reveals key benefits with portable imaging, particularly point-of-care ultrasound applications with AI capabilities, these authors note challenges with variability in training and advocate for radiologist-led oversight.

Catch up on the top AI-related news and research in radiology over the past month.

Amid the worsening imbalance of supply and demand in radiology and concerning scope of practice issues, one must keep in mind that course correction is often gradual in nature.

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

The MyLab A50 and MyLab A70 ultrasound platforms reportedly enable a variety of detailed and multiparametric evaluations, including assessments for liver elastography and strain analysis echocardiography.

Use of the AI-powered Salix Coronary Plaque module, which offers detection of high-risk plaque within 10 minutes based off of CCTA scans, will reportedly qualify for $950 in Category 1 CPT reimbursement in 2026.

In a new podcast, Krishna Nallamshetty, M.D., shares his thoughts on key contributing factors to burnout in radiology, and discusses practical approaches and emerging technology that may help mitigate the issue.

A model combining deep learning features and clinical variables demonstrated a 30 percent higher AUC than a clinical model for detecting DCIS and invasive ductal carcinoma from suspicious microcalcifications on mammography, according to a new study.

Over 26 percent of AI-detected future breast cancers and interval breast cancers missed by radiologists were invasive cancers, according to newly published research involving over 42,000 women who had 2D screening mammography.

Nine months after initiation of androgen deprivation therapy (ADT), prostate cancer patients with higher myocardial extracellular volume (ECV) — derived from chest contrast-enhanced CT — had over a fourfold higher risk for major adverse cardiovascular events (MACEs), according to new research.

In a recent interview, Ioannis Sechopoulos, Ph.D, and Sarah D. Verboom, MSc discussed their new research examining the role of certainty in AI mammography screening assessment and the potential impact on workload reduction for radiologists.

In a new review of MRI-based scoring systems for T-staging of prostate cancer, researchers discuss key literature findings and principles in evaluating the extent of prostate cancer (PCa) lesions, and whether a focus on specificity could enhance the staging of PCa.

In the second part of a recent interview, Tammie Benzinger, M.D., Ph.D., discusses recently presented research from the Alzheimer’s Association International Conference (AAIC) that showed the ability of portable low-field MRI to detect mild and moderate amyloid-related imaging abnormalities (ARIAs).

Is there a proverbial line in the sand for reasonable pushback against seemingly extraneous addendum requests?

Catch up on the latest news, research and insights in radiology with our Weekly Scan.