Generative AI Risks, Regulations, and Reality

Dr. Sid Dogra talks with Dr. Paul Yi about the safe use of large language models and other generative AI tools in radiology, including evolving regulations, data privacy concerns, and bias. They also discuss practical steps departments can take to evaluate vendors, protect patient information, and build a long term culture of responsible AI use. Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology. Yi et al. Radiology 2025; 316(3):e241516.

Dr. Linda Chu hosts a conversation with Dr. Chiara Bucciarelli-Ducci, Dr. Tim Leiner, and Gwenael Herigault on the latest innovations in cardiac MRI. They discuss how AI-driven workflow automation and helium-free systems are improving access, efficiency, and collaboration between radiologists and cardiologists. The episode also explores how advances in training, technology, and teamwork are enhancing care for cardiovascular patients. Sponsored by Philips Healthcare.

Dr. Linda Chu sits down with Dr. Anjum Ahmed, Chief Medical Officer at AGFA HealthCare, to explore how enterprise imaging is shaping the future of radiology through AI-driven workflows, human-centered design, and personalized patient care. Together, they discuss what "Imaging the Individual" means for radiologists today and what radiology might look like in 2030 and beyond. Sponsored by AGFA HealthCare.

Dr. Jeffrey Klein joins host Dr. Refky Nicola to reflect on his journey from aspiring internist to thoracic radiologist and longtime RSNA leader. He shares lessons from his tenure as Radiographics editor, insights on fostering community at the RSNA annual meeting, and timeless advice for the next generation of radiologists.

Our host, Dr. Celina Nahyun Jo, explores how identifying middle neck lymph node involvement can reshape clinical decision-making for nasopharyngeal carcinoma. Joined by Dr. Heejun Kang, they break down how this imaging finding could refine risk groups and potentially shift treatment intensity for certain patients. MRI-based Middle Neck Involvement in Stage N1–N2 Nasopharyngeal Carcinoma: A Marker for Risk Stratification. Qin and Jiang et al. Radiology 2025; 316(2):e243399. Middle Neck Involvement: New Layer of Risk Stratification in Nasopharyngeal Carcinoma. Jabehdar Maralani and Kang. Radiology 2025; 316(2):e252512.

Host Dr. Reni Butler sits down with outgoing Radiology Editor-in-Chief Dr. Linda Moy for an inspiring conversation about leadership, innovation, and the future of medical imaging. Dr. Moy reflects on her tenure at the journal, the impact of AI on radiology, and her vision for the next era of patient-centered care.  

*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "e42a2a6c-9e77-4666-b10e-7691827934f9" data-testid= "conversation-turn-2" data-scroll-anchor="false" data-turn= "assistant"> Dr. Ashwin Singh Parihar speaks with Dr. Gary Ulaner about new research comparing FDG PET-CT and conventional imaging for detecting oligometastatic breast cancer. They explore how advanced imaging can improve staging accuracy, the challenges of detecting lobular cancer, and the evolving role of targeted therapies in this emerging field. 18F-FDG PET/CT of Oligometastatic Disease in LocallyAdvanced Breast Cancer: PETABC Trial Post Hoc Analysis. Metser et al. adiology 2025; 316(2):e243788. Detection of Oligometastatic Disease in Breast Cancer:It's the Little Things That Count. Ulaner. Radiology 2025; 316(2):e251797.   *]:pointer-events-auto scroll-mt-(--header-height)" dir="auto" tabindex="-1" data-turn-id= "9d3f7fd2-373c-4ad3-b3a6-9ecb2673123d" data-testid= "conversation-turn-3" data-scroll-anchor="false" data-turn="user">  

Dr. Linda Chu speaks with Dr. Michael Trambert and Florent Saint-Clair about the unique workflow challenges in mammography and breast imaging. They explore clinical hurdles, the promise and pitfalls of AI, and how interoperability solutions can streamline efficiency and improve patient care. Sponsored by Dicom Systems. 

Dr. Linda Chiu unpacks how natural language processing and large language models are transforming radiology, with insights from a review by Dr. Felipe Kitamura and colleagues. From tokenization to transformers, she explores both the promise and challenges of applying these powerful AI tools to clinical practice. Texts Are More than Notes, They Are Data: A Glimpse intoHow Machines Understand Text. Kitamura et al. Radiology 2025; 316(2):e243217.

Dr. Refky Nicola speaks with Dr. Bari Dane, Associate Professor of Radiology at NYU, about the new SAR consensus recommendations for defining small bowel Crohn's disease strictures on CT and MR enterography. They explore updated imaging criteria, the challenges of distinguishing inflammation from fibrosis, and emerging roles for ultrasound and AI in diagnosis and treatment response. SAR Consensus Recommendations for Defining Small BowelCrohn Disease Strictures at CT and MR Enterography. Dane et al. Radiology 2025; 316(1):e243123.