SPOTLIGHT -
Orders for imaging are often unclear, so radiologists sometimes have to resort to whatever means necessary to figure out what they are supposed to be looking at.
How the Convergence of AI and the Cloud Can Unlock Breakthroughs and Cost Savings in Radiology
Emerging trends with artificial intelligence and cloud technology may reinvent efficiency and scalability with radiology workflows.
The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3
In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.
Philips to Introduce AI-Powered, Helium-Free MRI System at RSNA
Offering a variety of AI-enabled tools to facilitate radiology workflow efficiency, the BlueSeal MRI system is reportedly the first wide bore, helium-free 1.5T MRI platform in the field.
The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2
In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.
Computed Tomography Study Finds Nearly 44 Percent of Interstitial Lung Abnormalities Are Not Reported
While a large retrospective study found that interstitial lung abnormalities (ILAs) were evident on 1.7 percent of computed tomography (CT) scans, researchers found that 43.9 percent of ILAs, including fibrotic ILAs, were not reported.
Meta-Analysis Assesses Prognostic Role of CT-Based Coronary Artery Calcification in Patients with Lung Cancer
For patients undergoing curative treatment for lung cancer, coronary artery calcification scoring via computed tomography has a 97 percent likelihood of determining their risk for major cardiovascular events, according to a new meta-analysis.