Dr. Linda Chu reviews recent articles in the Generative AI Collection, covering clinical history extraction, case interpretation with vision language models, and report proofreading. The articles covered in the podcast are: Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions | Radiology Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models | Radiology Impact of Multimodal Prompt Elements on Diagnostic Performance of GPT-4V in Challenging Brain MRI Cases | Radiology Generative Large Language Models Trained for Detecting Errors in Radiology Reports | Radiology Large-Scale Validation of the Feasibility of GPT-4 as a Proofreading Tool for Head CT Reports | Radiology
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Imaging Meets AI: Navigating Challenges, Successes, and What’s Next– Sponsored by GE HealthCare
Dr. Lauren Kim is joined by Parminder Bhatia, Chief AI Officer, and Roland Rott, President and CEO of GE HealthCare Imaging, to explore how artificial intelligence is reshaping medical imaging. They discuss the potential of AI to improve efficiency, enhance diagnostic accuracy, and address key challenges like workforce shortages and rising demand for care. This episode is sponsored by GE HealthCare.
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Facing Burnout and Moral Injury in Radiology Practice
In this episode, host Dr. Refky Nicola speaks with Dr. Bettina Siewert about her compelling article on moral distress, moral injury, and burnout in radiology. Together, they explore the systemic challenges radiologists face today and practical strategies for fostering a healthier work environment. Moral Distress, Moral Injury, and Burnout in Radiology Practice. Siewert and Ayyala. Radiology 2025; 315(2):e241174. Tackling Moral Distress in Radiology: Root Causes andSystemic Solutions. Hanneman and Makary. Radiology 2025; 315(2):e250273.
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Repetitive Blast Exposure in SOF Members
Dr. Linda Chu speaks with Dr. Rajiv Gupta and Dr. Andrea Diociasi about new findings linking repetitive blast exposure in Special Operations Forces (SOF) members to distinct changes in brain connectivity and cortical volume. They discuss how advanced MRI techniques and predictive models are uncovering correlations between neuroimaging markers and long-term neurobehavioral symptoms. Distinct Functional MRI Connectivity Patterns and CorticalVolume Variations Associated with Repetitive BlastExposure in Special Operations Forces Members. Diociasi et al. Radiology 2025; 315(1):e233264.
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Advancing Radiology for Early Alzheimer’s Detection- Sponsored by Eli Lilly and Company
In this episode, Dr. Ashwin Parihar speaks with Dr. Petrice Cogswell about the radiologist’s critical role in diagnosing Alzheimer’s disease and how imaging advances are reshaping early detection. They also explore how innovation at scale, platform thinking, and operational alignment drive progress across complex healthcare systems. This episode is sponsored by Eli Lilly and Company.
Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in the January 2021 Issue of Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to "play Radiology podcasts on TuneIn".
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