AI

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

The newly launched HOPPR Presto Agent reporting platform can be integrated into existing radiology systems and AI models without the need for new software.

For pancreatic cancers less than or equal to 20 mm, a deep learning model offered a nearly 45 percent higher sensitivity rate with non-contrast CT in comparison to unassisted radiologist interpretation.

While use of an AI software demonstrated significantly higher accuracy in evaluating BI-RADS 2 presentations and no significant difference with radiologists in BI-RADS 4 assessments of breast ultrasound in a sub-analysis, researchers noted the exclusion of galactoceles, fluid collections and skin lesions that are commonly found in pregnant and lactating women.

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.

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.

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.