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.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
