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Radiology Podcasts | RSNA

Podcast Radiology Podcasts | RSNA
The Radiological Society of North America
Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in the January 2021 Issue of Radiology. Subscribe today on Apple Podcasts,...
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Available Episodes

5 of 229
  • Innovation Through Generosity: 40 Years of R&E Foundation
    RSNA celebrates the 40-year impact of the Research and Education (R&E) Foundation, which has funded over $84 million in radiology research and education. Dr. Lauren Kim speaks with Dr. Pamela Woodard and shares how R&E grants shaped her career and the importance of supporting innovation in radiology. Support the future of radiology by donating to the R&E Foundation: rsna.org/donate or text "40th" to 91999.
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  • Endometriosis: Radiology’s Role in Early Diagnosis
    Dr. Refky Nicola talks with Dr. Wendy VanBuren and Dr. Priyanka Jha about advances in endometriosis imaging, focusing on ultrasound, MRI, and the role of T1 and T2 sequences in diagnosis and reporting. Radiology State-of-the-art Review:Endometriosis Imaging Interpretation and Reporting. VanBuren et al. Radiology 2024; 312(3):e233482.
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  • AI in Radiology: Transforming Workflows & Efficiency – Sponsored by Carestream Health
    Dr. Linda Chu speaks with Dr. Aashim Bhatia and Eric Selvin Smith on AI's impact in radiology. They explore how AI is enhancing efficiency for radiologists and technologists, the latest innovations, and future possibilities in the field. Sponsored by Carestream Health.
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  • Smart Imaging: AI in MRI Technology-Sponsored by AIRS Medical
    Dr. Refky Nicola speaks with Tamie Bateman and Justin Kolakoski about how AI powered MRI technology can revolutionize workflows and enhance patient care. This episode sponsored by AIRS Medical. 
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  • AI and the Future of Breast Diagnosis- Sponsored by Carestream Health
    Dr. Reni Butler dives into the future of breast ultrasound imaging with experts Ms. Zuzanna Magnuska, Dr. Elmar Stickeler, and Dr. Fabian Kießling from RWTH Aachen University. They discuss their groundbreaking research on combining radiomics and autoencoders to improve the accuracy of distinguishing benign from malignant tumors. This episode is sponsored by Carestream Health.  Combining Radiomics and Autoencoders to DistinguishBenign and Malignant Breast Tumors on US Images. Magnuska et al. Radiology 2024; 312(3):e232554.
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