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.

In this episode, host Dr. Reni Butler speaks with Dr. Kalina Slavkova, Dr. Ruya Kang, Dr. Despina Kontos, and Dr. Habib Rahbar about their groundbreaking research using MRI-based radiomic features to improve risk stratification in ductal carcinoma in situ (DCIS). The discussion explores how combining clinical data, imaging, and AI-driven analysis could help personalize treatment and reduce overtreatment in breast cancer care.

Dr. Lauren Kim is joined by Dr. Ivan Pedrosa and Dr. Robert Watson to discuss the newly updated ACR MRI Safety Manual. They explore key changes, the rationale behind new guidelines, and the implications for both clinical practice and research.

American College of Radiology Manual on MR Safety:2024 Update and Revisions. Pedrosa et al. Radiology 2025; 315(1):e241405.

The Updated ACR Manual on MR Safety and How It WillAffect Your Practice. Kanal. Radiology 2025; 315(1):e242954.

ACR Manual on MR Safety 2024

In this episode, Dr. Ashwin Singh Parihar is joined by Dr. Jelijn Knip and Dr. Willemien Menke to discuss their study comparing FDG PET and FES PET for staging grade 1 or 2 ER-positive breast cancer, highlighting how FES PET may offer more accurate results for certain tumors. Tune in to learn how these imaging techniques can impact treatment decisions.

The Diagnostic Accuracy of 18F-FDG PET and 18F-FES PET for Staging Grade 1–2 Estrogen Receptor–Positive Breast Cancer. Knip and Iqbal et al. Radiology 2025; 314(3):e241850.

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.