Technology

The AI-enabled image processing with SubtleHD(CT) software reportedly facilitates improved noise reduction and image quality for computed tomography (CT) exams.

The Reporting Pro software reportedly offers an array of AI-enabled features that may help streamline radiology reports.

In a new survey of over 2,000 health-care professionals on AI use, respondents cited benefits ranging from improved work-life balance to preventing medical errors as well as concerns about overreliance on AI and inconsistent or limited training.

David Gruen, MD, MBA, FACR, of Advanced Radiology Consultants, shares how leading programs turned clinical evidence into operational reality.

What's already being done with large language models in radiology practice today.

The proportion of breast cancer potentially flagged by three different AI algorithms 10 years prior to diagnosis ranged between 12.7 to 17 percent, according to newly published retrospective research.

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

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.

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.

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