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

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

Catch up on recent interviews with Michael Hofman, MBBS, FRACP, Heather Jacene, MD, Phillip Kuo, MD, and more discussing new research and advances presented at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2026 conference.

Researchers found that non-contrast head CT exams, head and neck CT exams and spine CT imaging increased by 33 percent, 76.9 percent and 52.9 percent, respectively, per 1,000 emergency department encounters over the last decade.

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 First Read software provides preliminary drafting of radiology reports based on AI assessment of chest X-rays.

The Oncology Virtual Expert AI software reportedly provides semi-automated segmentation maps of brain tumors based on standard brain MRI scans.

In a recent interview discussing the SNMMI conference, Jeremie Calais, MD, PhD, shared his thoughts on emerging advances. a key mentor in nuclear medicine and combination therapy for prostate cancer.

In a recent interview, Constance Lehman, MD, PhD, discussed newly published research demonstrating the dynamic capability of AI-based risk scores, drawn from screening mammograms, to facilitate risk-adaptive screening.

In a recent episode of our “Molecular Imaging in Focus” series, Surekha Yadav, MBBS, MD, discussed research presented at the SNMMI conference that showed significant advantages of PSMA PET over conventional imaging for detection of osseous oligometastatic prostate cancer (PCa).

The VascularAssist Occlusion Triage software reportedly demonstrated over a 90 percent sensitivity for detecting peripheral artery disease (PAD) on CT in clinical performance testing.

A combination of incentives and embrace of technology-enhanced efficiencies may facilitate underlying ‘autopilot’ motivations toward increased achievement in navigating radiology worklists.