Catch up on the top radiology content of the past week.
|Videos|October 6, 2020
Mass Casualty Planning: Lessons Learned from Emergency Radiology
Author(s)Whitney J. Palmer
Dr. Susan Cross from Barts Health NHS Trust discusses the experiences of her institution with multiple mass casualty events during the American Society of Emergency Radiology 2020 annual meeting.
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It is impossible to know when a major incident -- a multi-car crash, a subway attack, or even a major pandemic -- is going to strike. But, not knowing that it is coming does not mean radiology departments cannot be prepared.
In her session during the American Society of Emergency Radiology 2020 annual meeting, Dr. Susan Cross from Barts Health NHS Trust in London shared the experiences she and her emergency radiology colleagues have had in caring for patients impacted by multiple mass casualty events.
Cross spoke with Diagnostic Imaging and shared not only some lessons learned, but some details about modality-specific planning for these events, as well as what obstacles may exist.
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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.
The newly cleared Aview Aorta Metrics software reportedly offers automated segmentation of aortic regions and classification of aortic zones based on chest CT images.
Catch up on the top radiology content of the past week.
The FFR-IQ software recently demonstrated a 92.2 percent sensitivity for non-invasive estimation of fractional flow reserve (FFRC) based on coronary CT angiography (CCTA) scans.
In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
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