Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
When it comes to COVID-19 detection, time is critical. This week, Diagnostic Imaging speaks with the leadership of RADLogics about their current artificial intelligence (AI) system that is designed to streamline workflow. CEO Moshe Becker shares not only the benefits of the system for radiologists, but also the impact on patient care. In addition, he also addresses what makes this AI system different from others in light of a new study that calls the efficacy and accuracy of COVID-19-related machine learning into questions. Look for the interview later this week.
For more COVID-19 AI coverage, click here.
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Recent research has shed a great deal of light on the role of the blood-brain barrier in brain aging diseases. This week, new investigative findings will be published about the impact of having a faulty blood brain barrier and how it might affect the brain. Look for details later this week.
For more coverage of the blood brain barrier, click here.
While tuberculosis is rare in the United States, that isn’t necessarily the case around the world. And, individuals who have active infections pose a dangerous risk to those around them. In a study to-be-published later this week, investigators take a deeper look at how the use of chest X-ray or chest CT allow for more timely screenings and diagnosis. Look for the story later this week.
For additional tuberculosis coverage, click here.
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.
Can MRI-Based Deep Learning Improve Risk Stratification in PI-RADS 3 Cases?
January 30th 2025In external validation testing, a deep learning model demonstrated an average AUC of 87.6 percent for detecting clinically significant prostate cancer (csPCA) on prostate MRI for patients with PI-RADS 3 assessments.
What Emerging CT Research Reveals About Obesity and Post-Op Survival for Non-Small Cell Lung Cancer
January 29th 2025For those without low skeletal muscle mass on CT and myosteatosis, obese patients have a 23 percent lower risk of death than non-obese patients after undergoing curative resection for non-small cell lung cancer, according to newly published research.