All News

Catch up on the most-well viewed radiology content in October 2026.

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.

Emerging research suggests that the benefits of photon-counting CT may be more pronounced in patients with obesity.

Catch up on the most well-viewed radiology video interviews from Diagnostic Imaging in September 2026.

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.

In a new webinar program, Raj Chopra, MD and Peter Reilly share their insights on the importance of cybersecurity, keys to effective downtime communication, the ripple effects and costs of security breaches, challenges with AI and practical safeguards.

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.

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

Are there certain strategies that facilitate an alter ego-esque laser focus undeterred by distraction?

Catch up on a variety of FDA news in radiology from the past week.

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.

Newly published preclinical research signals a substantial conceptual shift with a potential role of photon-counting CT in targeting specific biological processes.

The future of AI in radiology lies in its potential capability to forge connections and enhance efficiencies for enterprise-wide workflows.

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.

AI has to do more than show potential. It has to deliver measurable results.The Rad AI Outcomes and Market Impact Compendium brings together real-world clinical, operational and financial evidence from health systems, academic medical centers and radiology practices using Rad AI Reporting, Impressions and Continuity.Explore results including 60+ minutes saved per radiologist shift, a 47% reduction in report error rates, 70%+ patient follow-up adherence and >7x ROI — plus, case studies showing how organizations are translating AI into greater capacity, quality and financial performance.See what AI built specifically for radiology can deliver in practice.

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.

While a new article raises provocative questions about the capability of photon-counting CT (PCCT) to perhaps replace diagnostic ICA, the real revolution with this modality is going beyond stenosis measurement to a renewed focus on the disease of atherosclerosis.