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 on Diagnostic Imaging:
November is Lung Cancer Awareness month, and the past few weeks have provided new details about utilization rates of low-dose CT screening, as well as how effective the scan is in reducing the number of lung cancer-related deaths. This week, Diagnostic Imaging spoke with Debra S. Dyer, M.D., chair of the American College of Radiology’s Lung Cancer Screening 2.0 Committee, about the challenges that exist to increasing utilization with high-risk populations and what radiologists can do to help bring more patients in for screening.
For additional video interviews on lung cancer screening, click here.
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As the United States anticipates the Thanksgiving holiday this week, the rates of COVID-19 infection continue to rise – with the potential for even greater spikes during the holiday season. Consequently, efforts are still ongoing to improve diagnostic techniques. This week, look for new coverage on the role that artificial intelligence can play in improving detection of the virus.
For more artificial intelligence news, click here.
Healthcare disparities continue to be problems that plague several groups, particularly racial and ethnic minorities. With every new published study, radiologists learn more about how to address these issues. Within the next few days, keep an eye out from the latest findings about racial and ethnic minorities and stroke.
For additional stroke coverage, click here.
FDA Clears AI-Powered Quantitative Perfusion Mapping for Cone-Beam CT
May 6th 2024Reportedly validated in more than 10 clinical trials, the AngioFlow perfusion imaging software enables timely identification of brain regions with cerebral blood flow reduction and those with significant hypoperfusion.
Can a CT-Based Radiomics Model Bolster Detection of Malignant Thyroid Nodules?
May 3rd 2024A computed tomography (CT)-based radiomics model that includes 28 radiomic features showed significantly higher accuracy, sensitivity, and specificity than conventional CT in differentiating benign and malignant thyroid nodules, according to newly published research.
New Literature Review Finds ChatGPT Effective in Radiology in 84 Percent of Studies
April 29th 2024While noting a variety of pitfalls with the chatbot ranging from hallucinations to improper citations, the review authors found the use of ChatGPT in radiology demonstrated “high performance” in 37 out of 44 studies.