RSNA 2003

Nov 29, 2003

The technical exhibits under construction at RSNA 2003.

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AI model improves detection of brain metastases on MRI
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An AI brain metastasis detection model improves both the speed and the accuracy of identifying brain metastases on MRI scans.
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Bringing 3D surface modeling to the heart of radiology
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Structured 3D workflows embedded within radiology departments are increasingly becoming part of routine care.
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MRI biomarkers poised to reshape multiple sclerosis management
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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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USPSTF guidelines lead to shifted views on breast cancer screening
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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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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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Linda Moy, MD.
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