AJR Podcasts

In this episode of the AJR Podcast Series on Sustainability, Sean Woolen, MD, MS, speaks with Christopher Hess, MD, PhD, Elmar Merkle, MD, and Charles Goh, MBBS, about global perspectives on sustainability in radiology. They explore regional challenges, innovative solutions, and collaborative strategies to drive environmentally responsible radiology practices worldwide. https://www.ajronline.org/doi/10.2214/AJR.25.32864

Full article: Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports Morgan McLuckey, MD, discusses the AJR article by Li et al. exploring the use of large language models for extracting details related to recommendations for additional imaging from radiology reports.

Neena Kapoor, a radiologist and assistant professor at Harvard Medical School, discusses vital aspects of follow-up recommendations in radiology. She highlights the challenges of adherence and the variability in reporting. The conversation stresses the importance of system-based solutions, like innovative tracking tools and safety net teams, to enhance patient care. Kapoor emphasizes clearer communication among healthcare professionals and the critical role of standardized procedures in reducing diagnostic errors and improving safety.

Full article: Bosniak Classification of Cystic Renal Masses Version 2019: Proportion of Malignancy by Class and Subclass—Systematic Review and Meta-Analysis Aric Berning, MD, discusses the AJR article by McGrath et al. that provides a meta-analysis of malignancy proportions for Bosniak classification version 2019, stratified by class and subclass.

Full article: CT-based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients Bardia Nadim, MD, discusses the article by Pooler et al., exploring associations of CT body composition measurements, derived using automated artificial intelligence tools, with common systemic diseases.

In this episode of the AJR Podcast Series on Training and Education, Marc Succi, MD, joins host Monica Cheng, MD, to discuss insights in healthcare innovation, from founding MESH Incubator at Mass General Brigham to exploring how leadership and education can foster innovation in radiology to meaningfully impact patient care. https://www.ajronline.org/doi/10.2214/AJR.25.32784

Full article: Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models from the RSNA 2022 Cervical Spine Fracture AI Challenge Shailin Thomas, MD, discusses the AJR article by Chen et al. exploring the use of award-winning machine-learning models to detect cervical spine fractures missed by radiologists.

In this episode of the AJR Podcast Series on Wellness, Sherry Wang, MBBS, and Elizabeth Dibble, MD, discuss the Family Medical Leave Act and its integral role for wellness of the individual and of the health system. https://www.ajronline.org/doi/10.2214/AJR.25.32741

Full article: Use of Photon-Counting Detector CT to Visualize Liver-Specific Gadolinium-Based Contrast Agents: A Phantom Study Aishwariya Vegunta, MD, discusses the AJR article by Rau et al. exploring the potential of photon-counting detector CT, combined with low-keV virtual monoenergetic reconstructions, to visualized a hepatocyte-specific gadolinium-based contrast agent.

Full article: Ultrahigh-Resolution Photon-Counting Detector CTA of the Head and Neck: Image Quality Assessment and Vascular Kernel Optimization Atefeh Zeinoddini, MD, discusses the AJR article by He et al. exploring ultrahigh-resolution photon-counting detector CTA for evaluation of the head and neck, with attention to vascular kernel optimization.