Latest News

Flagging DBT images that may warrant a more expedited review, the CogNet AI-MT+ platform can reportedly be integrated into existing IT systems to facilitate workflow efficiencies for radiologists.

In a recent interview from the International Stroke Conference, Jeremy Heit, M.D., Ph.D., discussed new research suggesting that AI may offer better assessment than neuroradiologists of aneurysm growth on computed tomography or magnetic resonance angiography scans.

The Ascent3T Neonatal Magnetic Resonance Imaging System is reportedly the first high-field 3T system geared to neonatal applications.

Wendie Berg, M.D., Stamatia Destounis, M.D., and Amy Patel, M.D., share their thoughts and perspectives on key findings from the Lancet mammography study on AI and interval breast cancer, and how they have incorporated AI into their practices.

A high SUVmean on PSMA PET imaging was associated with 95 more days of mean progression-free survival (PFS) in contrast to those with a low median SUVmean, according to a new study of patients with mCRPC treated with (225Ac)Ac-PSMA-I&T.

The CT-based RevealAI-Lung software reportedly offers a Malignancy Similarity Index score to facilitate evaluation of incidental lung nodules.

In addition to significantly reduced radiation dosing in comparison to energy-integrating detector CT (EID-CT), photon-counting CT provided higher detection of enhancement-related malignant features, according to new prospective research involving 200 patients with lung cancer.

The Brainomix 360 Stroke Next Generation software reportedly includes automated assessment of net water uptake (NWU), a CT-based biomarker that may improve risk stratification for patients with severe strokes.

In a recent interview, Amy Patel, M.D., discussed key targets in legislation for breast imaging in 2026 and offered advice for breast radiologists seeking to get more involved in advocacy.

Are non-physicians playing around with your radiology reporting macros?

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

In a comparative study involving over 105,000 women, researchers found the use of adjunctive AI for mammography triage resulted in a 16 percent lower rate of invasive interval cancers in comparison to double reading by radiologists without AI.

The Biograph One PET/MRI system may facilitate accelerated scan times, improved visualization and more efficient assessments of theranostic approaches for patients with oncologic and neurological diseases.