Jeff Hall

In a recent interview, Carolynn DeBenedectis, MD, discussed the utility of AI-enabled slab reconstruction for interpretation of digital breast tomosynthesis (DBT) and new research showing a 13 percent reduction in reading time.

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

In a recent interview, Gadi Lalazar, MD, discussed new research demonstrating the capability of natural language processing (NLP) to enhance recognition of incidental hepatic steatosis in ultrasound reports.

Report One, reportedly the first agentic reporting tool specifically geared to breast imaging, is one of three new products that will be showcased by MagView at the upcoming RSNA conference.

Artificial intelligence plaque analysis of CCTA scans showed that 27 percent of former NFL players had severe or extensive total plaque volume, according to a new study to be presented at the American Heart Association Scientific Sessions 2026 this week.

While contrast-enhanced mammography (CEM) offered the highest agreement with histopathology on the extent of malignancy in a new study, researchers found the use of pre-op CEM had no impact on mastectomy or reoperation rates.

The Evident Vascular Guidance System and Evident peripheral imaging catheters reportedly offer enhanced image clarity and workflow efficiencies for intravascular ultrasound.

New research found that the late arterial phase, which accounts for approximately 40 percent of CT radiation dosing in cases involving acute abdominal pain, offered no exclusive findings that had an impact on clinical care.

New research suggests CCTA may provide salient preoperative insights into planning for percutaneous coronary intervention (PCI) while facilitating similar outcomes as intravascular ultrasound guidance for target-vessel failure.

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

Emerging CT research suggests that the plexus pancreaticus capitalis 2 (PPC2) pathway or a mass with stranding morphology may significantly increase mortality risk in patients with pancreatic cancer and extra-pancreatic nerve plexus invasion (EPNI).

In the second of a two-part podcast episode, Kalpana Kanal, PhD, and Mahadevappa Mahesh, PhD, discussed the possible impact of new research showing significant declines in CT radiation dosing over the past decade, future research directions and the potential for indication-based diagnostic reference levels (DRLs) in the future.

In the first of a two-part podcast episode, Kalpana Kanal, PhD, and Mahadevappa Mahesh, PhD, reviewed key findings from a study examining CT radiation dosing over the past decade and shared insights from their experience for ensuring optimal radiation dosing for CT scans.

The AI-powered NeuroDR software reportedly removes bone, soft tissue and veins from CTA scans and provides subsequent 3D MIP views and curved planar reformatted views of carotid and vertebral arteries.

In a recent interview with Diagnostic Imaging, Eliad Josephson discussed key attributes of the HLTH USA conference, AI trends and an ongoing shift of emphasis on the development of predictive technologies with diagnostics at center stage.

The newly cleared Aview Aorta Metrics software reportedly offers automated segmentation of aortic regions and classification of aortic zones based on chest CT images.

Use of the AI-enabled slab technology from reconstructed DBT imaging led to a 7.4-second mean reduction in reading time in a new study involving 391 cases and 15 reviewing radiologists.

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

In addition to providing higher SNRs in vascular structures and parenchymal organs than energy-integrating detector CT, photon-counting CT enabled an approximately 30 percent reduction in volume CT dose index (CTDIvol) for patients with obesity, according to a new study.

Facilitating enhanced 3D visualization of skeletal anatomy, the BoneEnhance machine learning module reportedly provides automated segmentation of bone and surrounding tissues for the Accuro XV ultrasound system.

In a new podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.

The FFR-IQ software recently demonstrated a 92.2 percent sensitivity for non-invasive estimation of fractional flow reserve (FFRC) based on coronary CT angiography (CCTA) scans.

A Kaiser score > 5 with breast MRI demonstrated a 97 percent sensitivity and 87.9 percent specificity for predicting malignancy in patients with BI-RADS 0 or 4 presentations on mammography and breast ultrasound, according to a new study.

In a recent interview, Francesco Giganti, MD, PhD, discussed findings from a recent multicenter study demonstrating the ability of an AI software to provide significant clarity to initial PI-RADS 3 assessments on MRI and facilitate a nearly 19 percent reduction in unnecessary prostate biopsies.

The NEXT-Cue AI software, which incorporates analysis of brain MRI scans, reportedly facilitates prognostic assessments of potential progression from mild cognitive impairment (MCI) to Alzheimer’s disease within five years.

In a new podcast episode, Amir Iravani, MD, FRACP, discusses emerging dosimetry data from the COMPETE trial for 177Lu-edotreotide and how it may help facilitate more personalized treatment for patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs).

In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.

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

Assessing breast MRI scans, pathology and clinical data, the AI-powered TumorSight Risk software reportedly provides five- and 10-year risk for breast cancer recurrence for women with HR+, HER2-negative stage I-IIIA breast cancer.

Tightness of the high-convexity sulci (THC) on brain MRI was associated with nearly threefold higher odds of cognitive decline over five to seven years of follow-up, according to a new prospective study involving over 2,100 community-dwelling senior citizens.