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Past Forums

  • The state of radiation protection in medicine: insights from the IAEA 2025 conference

    The state of radiation protection in medicine: insights from the IAEA 2025 conference
    (January 16, 2026) Ehsan Samei, PhD from Duke tells us more about the International Conference on Radiation Protection in Medicine, where global experts convened to assess progress and chart future directions for radiation safety in medical practice. This talk will summarize key outcomes, including advances in patient and staff protection, the impact of emerging technologies ...
  • Augmenting Reality: Virtual Readers to Supercharge AI for Lung Cancer Screening

    Augmenting Reality: Virtual Readers to Supercharge AI for Lung Cancer Screening
    (November 21, 2025) Joseph Lo, PhD from Duke presented the latest advances from CVIT, featuring AI benchmark models and virtual readers for lung cancer screening in chest CT. He will highlight AI frameworks that generate synthetic CT data to improve nodule detection/classification, showing how integrated virtual readers can emulate radiologists’ workflows and advance clinical adoption.
  • How spooky are the imaging radiation risks: CIPG + CVIT reviewing recent literature

    How spooky are the imaging radiation risks: CIPG + CVIT reviewing recent literature
    (October 31, 2025) Justin Solomon, PhD, from Duke University, discusses a recent NEJM paper (https://www.nejm.org/doi/full/10.1056/NEJMoa2502098) linking radiation from medical imaging to an increased risk of hematologic cancer in children and adolescents. The journal-club–style session will explore the study’s findings, evidence strengths and limitations, and how virtual clinical trials could help assess and reduce imaging-related risks.
  • MIDRC and Medical Imaging AI

    MIDRC and Medical Imaging AI
    (October 17, 2025) Maryellen Giger, PhD from the University of Chicago discusses AI in medical imaging, including radiomic “virtual biopsies”, deep learning across imaging modalities, and the importance of curated, diverse data. She will highlight MIDRC’s role in providing validated, representative datasets and resources for trustworthy AI.
  • Physiology Meets Precision: Experimental Imaging Insights to Inform Virtual Lung Trials

    Physiology Meets Precision: Experimental Imaging Insights to Inform  Virtual Lung Trials
    (September 19, 2025) Jessica Sieren, PhD from the University of Iowa presents two experimental lung imaging studies highlighting the role of physiology and technology in quantitative imaging. One examines menstrual cycle effects on lung biomarkers in women using CT and hyperpolarized gas MRI. The other evaluates ultra-high-resolution photon-counting CT with a phantom, showing accurate, dose-efficient ...

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