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:
X-ray imaging is the oldest and one of the most common and most affordable forms of diagnostic imaging. Even though it's been around for more than 100 years and hasn’t changed a great deal in that time, there is still room for some innovation. Later this week, look for a podcast with Amol Karnick, chief executive officer of KA Imaging, and Karim S. Karim, M.D., chief technical officer at KA Imaging, about current trends with this modality and where innovations and future work can lead.
For additional articles on KA Imaging, click here.
With vaccination rates on the rise, the United States is, hopefully, seeing a turning point in the COVID-19 pandemic. But, there’s no question that healthcare, including radiology, will be forever changed by this overwhelming experience that put a crushing burden on both providers and resources. After more than a year, Singapore Hospital has compiled a list of key lessons learned that can help inform hospitals and healthcare facilities as the industry ventures to continuing providing radiology services in the safest, most effective way possible. Keep an eye open this week for their assessment.
For additional articles on Singapore Hospital and the COVID-19 pandemic, click here.
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Low-dose CT screening for lung cancer has been proven to be effective in detecting cancers earlier, allowing for faster treatment that can, ultimately, save lives. Later this week, look for an article on work being done to further improve its efficacy.
For additional thought leadership on low-dose CT and lung cancer screening, click here.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
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.
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).