Technology

In order to fully take advantage of the capabilities of AI, this author emphasizes key principles and a framework for converting isolated technology solutions into reliable components of radiology workflows and operations.

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

The new functionalities for the AI-enabled Breast Suite software include automated identification of breast arterial calcifications and integration of prior mammograms.

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.

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

In a recent interview, Nina Kottler, MD, discussed the challenges with traditional radiology reporting, its impact on cognitive load and the recently launched AI-enabled platform Mosaic Reporting.

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.