Foundation Models in Radiology: The Future of AI in Imaging

In this episode, Dr. Linda Chu speaks with Sarah Atzen, Lead Scientific Editor for Radiology, about best practices for writing AI research papers. They explore key tips from the recent article “Top 10 Tips for Writing about AI in Radiology” to help authors improve clarity, accuracy, and impact. Top 10 Tips for Writing about AI in Radiology: A Brief Guide for Authors. Atzen. Radiology 2025; 314(2):e243347.

Dr. Lauren Kim speaks with Dr. Andrea Rockall, Clinical Chair of Radiology at Imperial College London, about the growing movement toward sustainable practices in radiology. They explore global collaboration, innovative technologies, and the power of data in reducing the environmental impact of medical imaging. Sustainability in Radiology: Position Paper and Call to Actionfrom ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R,RANZCR, and RSNA. Rockall et al. Radiology 2025; 314(3):e250325. RSNA’s online resources for environmental sustainability in imaging

In this episode, Dr. Refky Nikola speaks with Dr. Sohrab Afshari Mirak and Dr. Inas Mohamed about their recent article on the growing radiology workforce shortage and the critical role international medical graduates (IMGs) play in addressing it. The discussion explores data trends, challenges with the ABR Alternate Pathway, and potential solutions to strengthen the U.S. radiology pipeline. The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists. Afshari Mirak et al. Radiology 2025; 314(3):e232625.

In this episode, Dr. Linda Chu explores the capabilities of AI-generated podcast summaries using Google's Notebook LM and reflects on their potential role in medical communication. Join her as she compares speed and convenience with accuracy and nuance in this hybrid human-AI experiment. AI-generated Podcast Summaries of Radiology Articles: Analysis of Content and Quality. Tejani et al. Radiology 2025; 314(3):e243270.

Dr. Linda Chu speaks with Jakob Wasserthal and Tugba Akinci D'Antonoli about the power and potential of Total Segmentator MRI, sharing insights on its development, clinical impact, and open-source innovation. Through candid conversation, they explore how segmentation tools are reshaping medical imaging and research collaboration. TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI. Akinci D’Antonoli et al. Radiology 2025; 314(2):e241613. 

Join Dr. Refky Nicola and guest, Dr. Stephanie Nougaret, as they explore the evolution of MRI in rectal cancer staging, from the DISTANCE framework to the updated DISTANCED approach. Learn how advancements in imaging and structured reporting are shaping patient management and treatment planning. MRI of the Rectum: A Decade into DISTANCE, Moving to DISTANCED. Nougaret et al. Radiology 2025; 314(1):e232838.

Join Dr. Linda Chu as she chats with Dr. Magdalini Paschali and Dr. Akshay Chaudhari about foundation models in radiology. Learn how these AI models are shaping the future of medical imaging and clinical practice. Foundation Models in Radiology: What, How, Why, and Why Not. Paschali et al. Radiology 2025; 314(2):e240597.

Dr. Reni Butler speaks with Dr. Ed Hendrick and Dr. Debbie Monticciolo about the rising rates of metastatic breast cancer and the vital role of early detection through screening. They discuss their latest research, the impact of screening guidelines, and the urgent need to improve access and participation in breast cancer screening. Surveillance, Epidemiology, and End Results Data Show Increasing Rates of Distant-Stage Breast Cancer at Presentation in U.S. Women. Hendrick and Monticciolo. Radiology 2024; 313(3):e241397.  

Dr. Linda Chu speaks with Dr. Daniele Andreini about the Advantage II Study, which evaluates the accuracy of dynamic stress myocardial CT perfusion in patients with coronary artery stents. They discuss how this technique compares to invasive testing, its advantages over static CT perfusion, and its impact on cardiac imaging. Diagnostic Accuracy of Dynamic Stress Myocardial CT PerfusionCompared with Invasive Physiology in Patients with Stents:The Advantage 2 Study. Andreini and Mushtaq et al. Radiology 2024; 313(3):e232225.

Join host Dr. Simon Lennartz as he explores the top radiology images of the year with guests Dr. Francis Deng, Dr. Mickael Tordjman, and Dr. Dhairya Lakhani. They discuss the selection process, the significance of striking imaging, and what makes a submission stand out. 2024 Top Images in Radiology: Radiology In TrainingEditors’ Choices. Tordjman et al. Radiology 2024; 313(3):e243310.