Crowd awaits opening of technical exhibits

Nov 30, 2014
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AI model improves detection of brain metastases on MRI
By Kate Madden Yee
An AI brain metastasis detection model improves both the speed and the accuracy of identifying brain metastases on MRI scans.
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Structured 3D workflows embedded within radiology departments are increasingly becoming part of routine care.
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Various methods have been proposed to quantify myelin alone.
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Ria Dave talks about research she and colleagues led showing how often MBI is utilized in the U.S.
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Is teleradiology the right first job out of residency?
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Charlotte Taylor, MD, discusses the pros and cons of pursuing teleradiology work straight out of residency.
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Women's views on breast cancer screening are more aligned with USPSTF guidelines after viewing an informational decision aid.
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Physics-based technique improves reproducibility of lung density metrics
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Better quantifications of lung density may produce more precise assessments of lung disease severity.
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CT images in a 56-year-old man with preexisting mild centrilobular emphysema at baseline who currently smoked. (A) CT scan imaged with a reduced-dose (RD) acquisition protocol and (B) full-dose (FD) acquisition protocol. (C) The harmonized image obtained with the noise-adaptive median filtering technique. (D) Corresponding lung density histogram.
Photon-counting CT: The art of transition
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In a new column, Matthew Dedman of Siemens Healthineers North America discusses the benefits and challenges of transitioning to photo-counting CT.
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Suspended suits offer protection for interventional echocardiographers
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Suspended lead suits reduce head-level radiation doses to interventional echocardiographers compared with traditional lead aprons.
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Google AI Studio shows potential for AI-based lung cancer detection
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The model identified lung malignancies and produced consistent, structured reports, but needs further refinement.
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Podcast: Whose duty is it to ensure MRI safety?
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The investigation suggests there was little attention from those you might expect.
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The future of BI-RADS includes AI
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A presentation given at ECR 2026 outlined how AI-driven BI-RADS will further improve breast cancer risk assessment.
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