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In a recent interview at the RSNA conference, neuroradiologist Emanuel Kanal, M.D., discussed key findings from a committee of the American Board of Magnetic Resonance Safety with respect to MRI technologist responsibilities and how the advent of remote MRI scanning and related protocols may lead to increased MRI safety.

The multi-directional diffusion-weighted imaging (DWI) sequence reportedly bolsters small stroke detection and infarct differentiation for portable MRI of the brain.

While negativity may seem pervasive at times in health care, staying centered and above the fray keeps us focused on our mission of patient care.

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

Catch up on the latest research and insights from Constance Lehman, M.D., Rajesh Bhayana, M.D., Stamatia Destounis, M.D., and more with Diagnostic Imaging interviews from the recent RSNA conference.

In a recent interview, Tyler Coombes, M.D., and Parth Patel, M.D., discussed recent research, presented at the RSNA conference, which suggested that quantitative evaluation of non-calcified plaque volume (NCPV) may offer significant utility for cardiovascular risk stratification.

For patients with systemic sclerosis, the combination of PCCT and automated Lung Texture Analysis (LTA) offered a higher AUC for detecting interstitial lung disease (ILD) at a 70 percent lower mean CT dose index than the pairing of EID-CT and LTA.

Whether it was a new advance in 3T MRI, emerging mammography-based AI technology, promising enterprise imaging platforms or new ultrasound devices, here is a recap of some of the product innovations launched or showcased at the annual RSNA conference.

In a recent interview, Layne Dylla, M.D. discussed key findings from a recent study that revealed a doubling of annual head CT scans in emergency department settings over a 15-year period.

Reviewing an array of study presentations from the recent RSNA meeting, this author discusses insights from emerging research, ranging from the use of large language models (LLMs) in radiology reports to the potential impact of LLM assistance in differential diagnosis for brain MRIs.

In a recent interview at the RSNA conference, Rajesh Bhayana, M.D., discussed current research findings on the use of large language models (LLMs) in radiology and emerging LLMs that may have an impact.

Providing automated analysis of non-contrast head CT scans, the AI-enabled Scaida BrainCT-ICH software offers a specificity of 88.7 percent for intracranial hemorrhage detection with less than six seconds of processing time.

Don’t overreact, keep your options open and develop off-ramps so you’re prepared regardless of the changes to come with AI.