AI

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

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.

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.

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

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.

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.

Recent research demonstrated that non-physician operators with brief training on the Accuro XV ultrasound system had a greater than 90 percent rate for obtaining diagnostically adequate images.

In a recent interview with Diagnostic Imaging, Soroush Adam Ramin, MD, discussed the enhanced 3D visualization and prognostic capability of Unfold AI, an MRI-based software platform that was recently added to Medicare Physician Fee Schedules for the West Coast and Mountain West regions.

Increased paraspinal intermuscular adipose tissue (IMAT) on whole-body MRI was associated with a 67 percent higher likelihood of hypertension, according to new research involving over 11,300 participants without preexisting conditions.

In a roundup of breast imaging news and research from April 2026, we take a look back at pertinent findings with AI and digital breast tomosynthesis (DBT), breast MRI studies and breast cancer screening guidelines from the National Comprehensive Cancer Network (NCCN) and the American College of Physicians (ACP).

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

In an independent test set, a radiomic AI model demonstrated an 82 percent AUC for detecting pancreatic ductal adenocarcinoma on computed tomography (CT) scans at a median of nearly 16 months prior to clinical diagnosis.

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

Providing enhanced multidimensional displays of MRI and CT imaging, the Avatar Medical Vision software may facilitate improved surgical planning and intraoperative communication.

Facilitating enhanced real-time visualization for percutaneous coronary intervention (PCI) procedures, the Ultreon 3.0 optical coherence tomography platform reportedly combines high-resolution imaging with AI-powered insights on stent sizing and positioning.

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

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

In recent interviews, Andrew Del Gaizo, MD, Nicholas Galante, MD and David Larson, MD, MBA, shared their thoughts on the rapidly increasing imaging volume in radiology, key ramifications and possible solutions.

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

In a recent interview, Manisha Bahl, MD, discussed new breast ultrasound research findings that showed 16 percent higher specificity for breast cancer with adjunctive AI in comparison to unassisted interpretation.

AI software identified breast cancer missed by radiologists on one prior screening DBT exam in 26.8 percent of patients and on three prior screening DBT exams in 11 percent of patients, according to a study involving over 300 women that was presented at the Society of Breast Imaging conference.

In a recent interview with Diagnostic Imaging, Sujith Kalathiveetil, MD, FACC, discussed the evolution of coronary computed tomography angiography (CCTA), AI-enabled tools and the potential for future innovations with CCTA.

Are we overestimating the capacity of AI to address the ambiguity inherent to real-world medicine?