AI

In a recent interview, Benjamin Kann, M.D., discussed new research highlighting the capability of an AI foundation model to obtain a variety of diagnostic and prognostic data from brain MRI scans.

For the detection of lung cancer on low-dose CT, the eyonis LCS software reportedly offers greater than 90 percent sensitivity, specificity and negative predictive value (NPV).

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.

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.

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.

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

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.

The Allia Moveo C-arm platform reportedly offers ergonomic maneuverability, enhanced artifact reduction and flexibility with the use of cone-beam CT.

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.

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

Employing AI-powered automation, the MIM LesionID™ Pro reportedly bolsters the efficiency of whole-body tumor burden analysis with PSMA PET/CT and SPECT/CT.

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

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.

In recent interviews, Rajesh Bhayana, M.D., Manisha Bahl, M.D., and Jeremie Calais, M.D., Ph.D., shared their thoughts on agentic AI, key directions in breast imaging research and emerging trends with prostate cancer theranostics in 2026.

Geared toward facilitating earlier detection and efficiencies in emergency department workflow, the AI triage software reportedly has 11 newly cleared indications.

In a recent interview, David Yankelevitz, M.D., discussed the recent FDA clearance of the AI-CVD multisystem screening software and the ongoing evolution of incorporating computed tomography into personalized screening and risk assessments.

Incorporating AI to reduce artifacts and bolster soft tissue contrast, the Elekta Evo CT-Linac system reportedly improves detection of tumors and organs-at-risk.

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

In a recent interview, Rajesh Bhayana, M.D., discussed pertinent findings from a new study examining the use of the large language model GPT-4o in facilitating protocoling for abdominal and pelvic CT exams.