AI

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

The MIM Contour ProtegeAI+ 2.0 software reportedly offers new AI-powered contouring models for brain MRIs and pelvic CTs.

Noting the potential for workload efficiencies in interpreting screening digital breast tomosynthesis (DBT) images, researchers found the use of slab reconstruction technology improved specificity without any impact on sensitivity or cancer detection rate.

Reportedly trained on thousands of cardiac ultrasound images, the Ejection Fraction (EF) AI tool provides automated measurement of left ventricular ejection fraction (LVEF) in seconds.

The AI-powered Elevate Plus reportedly facilitates standardization of routine ultrasound, improves scan time and bolsters image quality.

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

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

Emerging CCTA research affirms the importance of going beyond LDL reduction in the evaluation and treatment of patients with chronic coronary syndrome.

The SubtleHD(PET) software reportedly facilitates enhanced image quality, provides improved SUVmax quantitative accuracy and compatibility with all FDA-approved radiotracers.

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

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

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

Recently published multinational research revealed that AZtrauma had a 95.6 percent AUC for detecting dislocations and a 97.5 percent AUC for detecting joint effusions.

In the latest episode of his “Interventional Radiology in Focus” series, Mina Makary, MD, discusses current and potential pre-procedure, intra-procedure and post-procedure applications of AI for interventional radiology.

Prostate AI reportedly enhances lesion detection, reduces segmentation variability between radiologists and improves workflow efficiencies in biopsy-recommended cases.

A retrospective comparison of AI platforms from seven different manufacturers for stand-alone lung cancer detection revealed sensitivity rates ranging between 20.8 percent to 77.8 percent.

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

In a new meta-analysis examining the impact of MRI-based AI models for predicting high-grade hepatocellular carcinoma, researchers noted a 10 percent decline in AUC between internal validation and external validation.

In a recent interview, Shadpour Demehri, MD, discussed new research findings suggesting a correlation between emphysema-like changes on CT and reduced bone mineral density in patients without chronic obstructive pulmonary disease (COPD).

The combination of sustained high-gradient performance and AI capabilities with the Titanion MR may facilitate the use of imaging biomarkers that provide insight into tissue microstructure

Four versions of the Artis vision platform and floor configurations of the Artis icono.explore and Artis genio systems feature the Optiq AI imaging chain, which reportedly facilitates real-time analysis and data optimization.

In a new capabilities analysis of 16 CE-marked AI software platforms for CT lung cancer screening, researchers found that only 6.7 percent of supporting peer-reviewed studies were prospective and that none of the studies assessed impact on patient outcomes.

In a recent interview with Diagnostic Imaging, Leslie Lamb, MD, MSc, discussed findings from new mammography research that showed an 89.3 percent sensitivity for detecting invasive lobular carcinoma (ILC) with adjunctive AI.

The role of the radiologist is shifting, not into obsolescence but more of an architect of AI implementation and workflow orchestration in a continuously evolving health-care system.

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