National Diagnostic Imaging Symposium 2022

Dec 2nd, 2023Dec 6th, 2023
Lake Buena Vista, FL
US
https://www.worldclasscme.com/conferences/national-diagnostic-imaging-symposium-2023/
Phone:888-207-9105
Designed to meet the educational needs of radiologists in general or specialized care and radiology residents/fellows who desire to learn how to use imaging in a clinical practice setting for screening, diagnosis, and staging of injury and disease.
Latest in Conference
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More in Conference
RSNA seeks board nominations
By AuntMinnie.com staff writers
The RSNA is seeking nominations for two positions on its board of directors. Terms for both positions will begin in December.
February 10, 2026
Rsna 2025 Welcome
RSNA reports nearly 38K attendees at 2025 meeting
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RSNA 2025 featured advances in all radiologic subspecialties and modalities, while focusing on radiology's role in precision medicine.
December 23, 2025
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By Liz Carey
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December 22, 2025
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By Erik L. Ridley
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December 5, 2025
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3D CNN model estimates MACE risk from chest CT
By Kate Madden Yee
The algorithm appears effective at predicting major adverse cardiovascular events (MACE) even when applied to diverse patient groups.
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AI tool for breast ultrasound helps avoid unnecessary biopsies
By Amerigo Allegretto
Research presented at RSNA 2025 showed how an AI support tool for breast ultrasound could help avoid unnecessary biopsies.
December 4, 2025
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Tracking coronary artery calcium score alone is not enough, according to an RSNA presentation.
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Eric Christensen, PhD, shares his economist's perspective on issues facing radiology.
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Video from RSNA 2025: Safety in remote MRI
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Emanuel Kanal, MD, discussed a new standardized approach to remote MRI scanning in a video interview.
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PET/MRI detects ‘unknown’ generators of musculoskeletal pain
By Will Morton
Potential pain generators were identified by increased F-18 FDG radiotracer uptake on PET and/or structural abnormalities on MRI.
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Axillary ultrasound predicts nodal disease burden in breast cancer
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Axillary ultrasound can predict significant nodal disease burden in breast cancer patients, which could help avoid biopsy.
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AI reduces MRI's carbon footprint
By Kate Madden Yee
Using AI with MRI imaging reduces exam time and therefore energy consumption and carbon dioxide emissions.
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