AJR Podcasts

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Scaling up Sustainability in CT Jan 08, 2026

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Full article: CT Energy Consumption Savings From a Rapid-Reactivation Power Save Mode for Interexamination Idle Periods

Existing strategies for achieving CT energy savings have focused on powering systems down after hours. Raisa Amiruddin, MBBS, is joined by Kate Hanneman, MD, to discuss this recent AJR article exploring a novel rapid-reactivation power save mode for reducing scanner energy consumption during short periods between examinations.

Incidental Adrenal Nodules: Is Follow-Up Always Necessary? Jan 08, 2026

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Full article: Prevalence of Malignancy Among Incidental Indeterminate Adrenal Nodules on Contrast-Enhanced CT in Patients Without Known Cancer: A Multiinstitutional Study

Can scenarios be defined when imaging follow-up may not be needed for adrenal nodules? Antonino Andrea Blandino, MD, discusses this AJR article by Corwin et al. exploring malignancy prevalence in incidental indeterminate adrenal nodules.

Efficient, Not Exhausted—From Training to Practice, an AJR Podcast Series (Episode 7) Jan 07, 2026

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Feeling overwhelmed by the worklist? Long H. Tu, MD, PhD, joins host Surbhi Raichandani, MD, to discuss practical efficiency strategies, technologies, ergonomics, and habits that help radiologists protect their focus, streamline workflows, and reclaim time, all while still delivering high-quality patient care.

The Full-Time Researcher—Career Pivots, an AJR Podcast Series (Episode 6) Dec 24, 2025

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From residency to leading India's next generation of artificial intelligence (AI) researchers, a radiologist shares an unconventional journey from clinician to full-time academic innovator. Suvrankar Datta, MD, speaks with host Siddhant Dogra, MD, about radiology training in India, building an AI lab, and redefining the meaning of being a physician-scientist.

Fetal Imaging—Pediatric Imaging, an AJR Podcast Series (Episode 6) Dec 17, 2025

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Glimpse into the world of prenatal diagnostics! Safwan Halabi, MD, speaks with host Raisa Amiruddin, MBBS, on techniques for detailed imaging of the developing fetus and the role of radiologists in the multidisciplinary fetal medicine team.

Remote Diagnostic Breast Imaging Dec 15, 2025

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A growing shortage of breast radiologists has hindered timely access to diagnostic breast imaging services. Radiologist burnout is exacerbating these workforce challenges. In this AJR Conversation, Breast Imaging Senior Editor Wei Yang, MD, speaks with Sona Chikarmane, MD, about her team's recently published AJR article exploring how the implementation of a remote diagnostic breast imaging program can provide a sustainable strategy to address these gaps.

Will AI Replace Me? A Grounded Overview of Vision–Language Models in Current Radiology Practice Dec 15, 2025

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Full article: Decoupling Visual Parsing and Diagnostic Reasoning for Vision–Language Models (GPT-4o and GPT-5): Analysis Using Thoracic Imaging Quiz Cases

What is the bottleneck in ongoing attempts to use vision-language models to interpret radiologic imaging? Pranjal Rai, MD, discusses this recent AJR model by Han et al. that seeks to differentiate the roles of visual parsing and diagnostic reasoning toward impacting VLM performance.

What It Takes to Go From Podium to PACS—Radiology Trailblazers, an AJR Podcast Series (Episode 6) Dec 10, 2025

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How can lessons from sports aid a radiology career? Claude Sirlin, MD, and Benjamin Wildman-Tobriner, MD, join cohosts Lindsey Negrete, MD, and Amy Maduram, MD to discuss resilience through failure in athletics, mental habits during high-stakes competitions, and the nonlinear path to academic success.

Automating CT and MRI Protocoling: A Meta-analysis of Artificial Intelligence Dec 08, 2025

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Full article: Artificial Intelligence for CT and MRI Protocoling: A Meta-analysis of Traditional Machine Learning, Transformer, and Large Language Models

CT and MRI protocoling can pose substantial time burdens for radiologists. Selima Siala, MD, discusses this AJR article by Sacoranksy et al. that reports a meta-analysis comparing traditional machine-learning, transformer, and large language models for automated examination protocoling.

Missed But Not Forgotten: What 13 Years of U.S. National Mammography Data Reveal Dec 08, 2025

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Full article: False-Negative Screening and Diagnostic Mammograms in the National Mammography Database From 2010 to 2022

What lessons can we use from the National Mammography Database? Jordan Kondo, MD, discusses the AJR article from Oluyemi et al. that explores false-negative mammography rates based on this large data resource.

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