Radiology Imaging Cancer Podcast | RSNA Podcast Por RSNA arte de portada

Radiology Imaging Cancer Podcast | RSNA

Radiology Imaging Cancer Podcast | RSNA

De: RSNA
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A podcast from the Radiology: Imaging Cancer journal focusing on recently publications and trending topics. Journal editor-in-chief: Dr. Gary Luker Hosts: Ghazal Zandieh, MD, Thomas DeSilvio, Brennan Flannery, and Yashbir Singh, MD. Production: Kelly Myers2023, Radiological Society of North America (RSNA) Ciencia Enfermedades Físicas Higiene y Vida Saludable
Episodios
  • Episode 37: Imaging Research Makes Real Impact
    Mar 18 2026

    Dr. Yashbir Singh sits down with Dr. Lacey McNally to explore her groundbreaking work advancing contrast agents, molecular imaging, and first‑in‑human clinical trials. Together, they discuss the challenges of translational research, the essentials of high‑quality imaging manuscripts, and the evolving landscape of scientific publishing.

    Radiology: Imaging Cancer

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    21 m
  • Episode 36: Detecting Liver Cancer Earlier
    Feb 18 2026

    Dr. Yash Singh sits down with Dr. Sudhakar Venkatesh to explore his global journey in radiology and how innovations like MR elastography are transforming the noninvasive diagnosis and staging of liver disease. They discuss the future of quantitative, AI-enhanced imaging in detecting liver cancer and biliary diseases earlier—shifting radiology from passive observation to a central, collaborative force in precision medicine.

    Radiology: Imaging Cancer special collection for Pancreatic Adenocarcinoma, Pancreatic Neuroendocrine, and Hepatobiliary Cancers.

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    16 m
  • Episode 35: RSNA2025 Insights: Trends, Tech, and Takeaways
    Jan 21 2026

    In this episode, Tom DeSilvio, Brennan Flannery, and Yash Singh reflect on their experiences as trainee editorial board members, discussing what they've learned about peer review, clinical relevance, and evaluating innovation in cancer imaging research. They also share highlights from attending RSNA in person, including emerging trends like AI integration, foundation models, and the value of community and collaboration in radiology.

    Radiology: Imaging Cancer

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    25 m
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