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In the first of a two-part podcast episode, Kalpana Kanal, PhD, and Mahadevappa Mahesh, PhD, reviewed key findings from a study examining CT radiation dosing over the past decade and shared insights from their experience for ensuring optimal radiation dosing for CT scans.

In a new webinar program, Raj Chopra, MD and Peter Reilly share their insights on the importance of cybersecurity, keys to effective downtime communication, the ripple effects and costs of security breaches, challenges with AI and practical safeguards.

The AI-powered NeuroDR software reportedly removes bone, soft tissue and veins from CTA scans and provides subsequent 3D MIP views and curved planar reformatted views of carotid and vertebral arteries.

In a recent interview with Diagnostic Imaging, Eliad Josephson discussed key attributes of the HLTH USA conference, AI trends and an ongoing shift of emphasis on the development of predictive technologies with diagnostics at center stage.

The newly cleared Aview Aorta Metrics software reportedly offers automated segmentation of aortic regions and classification of aortic zones based on chest CT images.

Use of the AI-enabled slab technology from reconstructed DBT imaging led to a 7.4-second mean reduction in reading time in a new study involving 391 cases and 15 reviewing radiologists.

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

Are there certain strategies that facilitate an alter ego-esque laser focus undeterred by distraction?

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

In addition to providing higher SNRs in vascular structures and parenchymal organs than energy-integrating detector CT, photon-counting CT enabled an approximately 30 percent reduction in volume CT dose index (CTDIvol) for patients with obesity, according to a new study.

Facilitating enhanced 3D visualization of skeletal anatomy, the BoneEnhance machine learning module reportedly provides automated segmentation of bone and surrounding tissues for the Accuro XV ultrasound system.

Newly published preclinical research signals a substantial conceptual shift with a potential role of photon-counting CT in targeting specific biological processes.

The future of AI in radiology lies in its potential capability to forge connections and enhance efficiencies for enterprise-wide workflows.