Here's what to expect this week on Diagnostic Imaging.
Welcome to a New Year at Diagnostic Imaging! In this week’s preview, here are some highlights of what you can expect to see coming soon:
With 2020 in the rear-view mirror, there is a great deal on the horizon for radiology. Editorial Board member Mina Makary, M.D., an interventional radiologist at Ohio State University Wexner Medical Center, shares his thoughts this week about what you can expect in the coming months. Keep an eye open for his insights.
In the meantime, take another look at 2020 end-of-year coverage.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Post-traumatic stress disorder (PTSD) can be the result of several factors – both physical and psychological – and it has been the focus of several research efforts in recent years. Still, little is understood about symptoms of this condition. In a new study, investigators from the University of California at San Diego have determined that brain volume measurement has the potential to be an early biomarker. Look for details on their findings soon.
For additional PTSD and traumatic brain injury coverage, click here.
As in year’s past, artificial intelligence (AI) continues its march toward being a much more integrated part of both research and clinical activities. This week, Frost & Sullivan analysts Suresh Kuppuswamy and Siddharth Shah offer perspectives about what vendors have done to further develop AI and enterprise imaging. Look for their insights about why AI and enterprise imaging "won" RSNA 2020.
For additional enterprise imaging coverage, click here.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.