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How can AI help predict breast cancer risk? Heta Ladumor, MD, discusses the AJR article by Xu et al. that developed a novel deep-learning tool for predicting risk from DBT examinations. Full article: Predicting 5-Year Breast Cancer Risk From Longitudinal Digital Breast Tomosynthesis: A Single-Cent…
Vision language models (VLMs) are receiving growing attention in radiology. Kathy Dai, MD, is joined by Dorothy Sippo, MD, MPH, to discuss the article by He et al. exploring the use of VLMs for axillary lymph node assessment in patients with breast cancer. Full article: Vision Language Models for …
What happens when the system goes down in a cyberattack? Ichiro Ikuta, MD, MMSc, speaks with cohosts Lindsey Negrete, MD, and Amy Maduram, MD about real-world vulnerabilities and consequences of cyberattacks in radiology. Listen to their discussion in episode 3 of Extreme Radiology, an AJR Podcast …
The radiologist shortage is real, and international medical graduates (IMGs) are already helping solve it. Sohrab Afshari Mirak, MD, speaks with cohosts Surbhi Raichandani, MD, and Sherry Wang, MBBS, about his path from Tehran to UCLA, the American Board of Radiology Alternate Pathway, visa hurdles…
Neuroimaging utilization in the emergency department (ED) is growing. Christopher Ruggiero, MD, discusses this article by Rai et al. that explores this growth in over 3 million ED encounters nationally. Full article: Utilization of Emergency Department (ED) Neuroimaging From 2016 to 2025: Analysis…
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