24th Annual Vail 2024: MR and CT Advanced Imaging and Artificial Intelligence

Feb 24th, 2024Feb 29th, 2024
Vail, CO
US
https://edusymp.com/product/details/1573
Phone:813-806-1000
Join us live in person in Vail, CO, or register for the live webcast if you cannot attend in person.
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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
By AuntMinnie.com staff writers
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
Study suggests real-world feasibility of AI-driven dose reduction with preserved diagnostic confidence in breast imaging.
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.
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By Liz Carey
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
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Using AI with MRI imaging reduces exam time and therefore energy consumption and carbon dioxide emissions.
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