- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Mass Casualty Planning: Lessons Learned from Emergency Radiology
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.
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.
The Reading Room Podcast: Emerging Trends in the Radiology Workforce
February 11th 2022Richard Duszak, MD, and Mina Makary, MD, discuss a number of issues, ranging from demographic trends and NPRPs to physician burnout and medical student recruitment, that figure to impact the radiology workforce now and in the near future.
Study Assesses Lung CT-Based AI Models for Predicting Interstitial Lung Abnormality
September 6th 2024A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
What a Prospective CT Study Reveals About Adjunctive AI for Triage of Intracranial Hemorrhages
September 4th 2024Adjunctive AI showed no difference in accuracy than unassisted radiologists for intracranial hemorrhage (ICH) detection and had a slightly longer mean report turnaround time for ICH-positive cases, according to newly published prospective research.
