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Diagnostic Imaging's A Look Ahead: Jan. 4, 2021, to Jan. 8, 2021
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.
MRI or Ultrasound for Evaluating Pelvic Endometriosis?: Seven Takeaways from a New Literature Review
September 13th 2024While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.
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.
