Podcasts about rsna

Dr. Linda Chu speaks with Dr. Ramin Khorasani about targeted interventions that reduced ambiguous radiologist recommendations for additional imaging while dramatically improving the clarity and follow-through of actionable recommendations. They explore how a structured system of care, closed-loop communication, and leadership engagement can advance high-value, patient-centered care in radiology. This episode is sponsored by Mayo Clinic.  Cumulative Effect of Targeted Interventions on Radiologist Recommendations for Additional Imaging. Abbasi et al. Radiology 2025; 315(3):e243750.

Host Dr. Reni Butler is joined by Dr. Sarah Eskreis-Winkler and Dr. Katja Pinker to discuss their recent work on adaptive breast MRI scanning using AI to improve breast cancer diagnosis and management. They explore how advanced MRI techniques and artificial intelligence can enhance imaging precision, leading to better patient care in breast imaging. Adaptive Breast MRI Scanning Using AI. Eskreis-Winkler et al. Radiology 2025; 315(3):e242924

Join Dr. Mana Moassefi from the Mayo Clinic as she explores how cognitive biases shape radiology practice and contribute to diagnostic errors. Highlighting practical debiasing strategies, she guides listeners through each stage of image interpretation to help radiologists move from biased to balanced readings. Spectrum of Cognitive Biasesin Diagnostic Radiology. Yoon and Lee et al. RadioGraphics 2024; 44(7):e230059.

In this episode of the Radiology Artificial Intelligence Podcast, host Dr. Paul Yi speaks with Drs. Eric and Kevin Wu, recent Stanford PhDs, about their journey through academia, industry, and the startup world. They dive into their latest project, MedArena, a physician-powered platform designed to evaluate medical LLMs, and explore how AI can be more effectively integrated into real-world clinical workflows.

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

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. 

Dr. Jennifer Weaver speaks with Dr. Yasha Gupta about the origins, structure, and impact of the RSNA Medical Student Task Force. They discuss the task force's initiatives, including scholarships, mentorship, and outreach programs, to engage and support medical students interested in radiology. RSNA Medical Student Task Force:A Success Story in MedicalStudent Initiatives. Anderson and Chang et al. RadioGraphics 2025; 45(7):e240253.  RSNA Volunteer Opportunities Directory 

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.

Content Warning: This episode contains depictions of domestic violence, listener discretion is advised. Join hosts Dr. Jennifer Weaver and Dr. Jonathan Revels speak with Dr. Jamie Elifritz about the evolving role of postmortem CT in forensic medicine. Dr. Elifritz shares her experience in forensic imaging and highlights how postmortem CT can enhance death investigations, support legal processes, and improve public health insights. Postmortem CT: Applications in Clinical andForensic Medicine. Solomon et al. RadioGraphics 2025; 45(6):e240192.

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.

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, Dr. Marcela Lauar and Dr. Gabriela Merigue walk through the fundamentals of breast ultrasound, highlighting key techniques, clinical indications, and special patient considerations. They also share practical tips for optimizing image quality and interpreting findings based on BI-RADS guidelines. Breast US: Guide for Beginners. Lauar et al. RadioGraphics 2025; 45(1):e240161.

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. MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial). Slavkova and Kang et al. Radiology 2025; 315(1):e241628.

In this AI-generated episode of Radiology AI Papers in a Capsule, we discuss a study that extends the NeuroHarmony AI model to address scanner variability in brain MRI for Alzheimer's disease assessment. Learn how incorporating cognitive status into harmonization may improve the reliability of quantitative imaging across diverse clinical settings. A Machine Learning Model to Harmonize Volumetric BrainMRI Data for Quantitative Neuroradiologic Assessment ofAlzheimer Disease. Archetti and Venkatraghavan et al. Radiology: Artificial Intelligence 2025; 7(1):e240030.

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  

Join host Dr. Katie Epstein explores the RadioGaphics article Anatomic Approach to Fetal Hydrocephalus by Griffith et al. Dr. Epstein breaks down how a stepwise, anatomy-based imaging approach can improve diagnosis, guide prenatal counseling, and shape the management of ventriculomegaly. Anatomic Approach to Fetal Hydrocephalus. Griffith et al. RadioGraphics 2025; 45(2):e240071

Dr. Dana Alkhulaifat explores how mentorship can inspire and guide the next generation of leaders in radiology and imaging informatics. Guests Dr. Tessa Cook and Satvik Tripathi share insights on building awareness, creating opportunities, and the impact of strong mentor-mentee relationships.

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.

Join host Dr. Lily Wang as she explores a practical approach to diagnosing orbital lesions based on anatomical compartments. This episode breaks down complex orbital anatomy into clear, actionable insights for radiologists at all levels.  Practical Approach to Orbital Lesions byAnatomic Compartments. Naves et al. RadioGraphics 2024;44(10):e240026. 

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

Dr. Jason Adelberg talks with Dr. John Stewart about how he built rScriptor, a radiology dictation tool, from a personal side project into a widely adopted software product. Dr. Stewart shares lessons on entrepreneurship, product development, and how radiologists can turn their own ideas into real businesses.

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. Refky Nicola summarizes a recent review article from RadioGraphics. Find out how to stand out from the crowd and create your own outstanding exhibit.  Creating an Award-winning RSNA Education Exhibit. Albasha and Burkett et al. RadioGraphics 2022; 42:E106-E108. Check out the new RSNA Education Course about submitting an Abstract for RSNA2025. How To Prepare and Submit an Educational Abstract for the RSNA Annual Meeting (2025)    

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.

Dr. Lily Wang and Dr. Aakanksha Sriwastwa discuss how nuclear medicine, including PET and SPECT imaging, helps diagnose and treat medically refractory focal epilepsy. Learn how these techniques guide surgical planning and improve patient care.   Nuclear Medicine Imaging in Epilepsy. Sriwastwa et al. RadioGraphics 2025; 45(1):e240062. 

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.

In this episode, hosts Dr. Cody Savage and Dr. Ali Tejani speak with Dr. Pranav Rajpurkar and Dr. Michael Moritz about the future of AI in radiology, from research breakthroughs to real-world implementation. They discuss building AI models that detect every disease, the challenges of integrating AI into clinical workflows, and the entrepreneurial journey of bringing cutting-edge technology to medical imaging.

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. Refky Nicola discusses the role of radiology residents as educators, drawing from an article by Bentley et al. from the University of British Columbia. He explores key teaching strategies, including goal setting, supervision, and effective feedback, to help residents enhance medical education. Teaching Radiology: An Evidence-based Overview for Radiology Residents. Bentley et al. RadioGraphics 2025; 45(2):e240181.

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.

Dr. Brandon K.K. Fields speaks with Dr. Jennifer Holter-Chakrabarty about her groundbreaking research on fluorine-18 fluorothymidine (FLT) PET in the imaging of gastrointestinal graft-versus-host disease (GVHD) after allogeneic stem cell transplantation. Together, they explore a potential future role for FLT-PET in detection of early and/or subclinical GVHD, which may serve to guide future treatment strategies for transplant patients in years to come. 18F-FLT PET and Blood-based Biomarkers for IdentifyingGastrointestinal Graft versus Host Disease after Allogeneic CellTransplantation. Holter-Chakrabarty and McNally et al. Radiology: Imaging Cancer 2025; 7(1):e240096. 

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.

Join Dr. Richa Patel, Clinical Assistant Professor of Body Imaging at Stanford University, as she discusses key ultrasound features for accurately diagnosing acute cholecystitis, drawn from her recently published Radiographics paper. Learn how recognizing findings like gallbladder dilation, wall hyperemia, and mucosal discontinuity can improve diagnostic precision and patient outcomes. Improving Diagnosis of Acute Cholecystitis withUS: New Paradigms. Patel et al. RadioGraphics 2024; 44(12):e240032.

In this episode, podcast cohost Dr. Ashwin Parihar and guest Dr. Jessica Porembka, chair of the RSNA education exhibit awards committee, highlight several standout educational and scientific presentations at RSNA 2024 and discuss larger trends in education and research abstracts at the annual meeting. Call for Abstracts at RSNA 2025 is now open for submissions and closes May 7, 2025 (noon Central Time). Call for Abstracts at RSNA 2025 Abstract Submission | RSNA 2024 RSNA Annual Meeting Awardees DB24_Award_Winners_Thursday_FIN.indd RSNA Involvement Opportunities Volunteer and involvement opportunities | RSNA

Join hosts Dr. Paul Yi and Dr. Ali Tejani as they welcome new team members Dr. Bardia Khosravi and Dr. Cody Savage to discuss the rise of AI-generated podcasts and their impact on radiology education. From Google's Notebook LM to the challenges of AI hallucinations, they explore the future of automated content creation and what it means for the Radiology Artificial Intelligence Podcast.

Join Dr. Linda Chiu as she discusses the transformative role of AI in cardiac CT and MRI with Dr. Domenico Mastrodacasa and Dr. Marlee Van Assen, co-authors of a groundbreaking scientific statement on the topic. Together, they explore AI's impact on imaging workflows, clinical adoption, and the future of cardiac diagnostics. Use of AI in Cardiac CT and MRI: A Scientific Statement fromthe ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA. Mastrodicasa and van Assen et al. Radiology 2025; 314(1):e240516.

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.

Join host Dr. Sherry Wang as she explores the complex world of Erdheim-Chester disease with Dr. Yashant Aswani and Dr. Shehbaz Ansari, authors of Imaging in Erdheim-Chester Disease from RadioGraphics. In this episode, they discuss the key imaging findings, differential diagnoses, and the crucial role radiologists play in diagnosing and managing this rare multisystemic histiocytic neoplasm. Imaging in Erdheim-Chester Disease. Aswani et al. RadioGraphics 2024; 44(9):e240011

In this episode Dr. Refky Nicola explores the latest updates to LIRADS Ultrasound Surveillance 2024 with guest Dr. Aya Kamaya. Focusing on its role in hepatocellular carcinoma (HCC) screening and how it compares to other imaging modalities. Key topics include the importance of surveillance, the benefits and limitations of ultrasound, and new guidelines for improving early HCC detection. LI-RADS US Surveillance Version 2024 for Surveillanceof Hepatocellular Carcinoma: An Update to the American Collegeof Radiology US LI-RADS. Kamaya et al. Radiology 2024; 313(3):e240169.

In this episode of the Radiology Podcast, Dr. Lauren Kim speaks with Dr. Lama Dawi about a groundbreaking study comparing liquid biopsy and CT imaging in assessing tumor burden. They explore the strengths, limitations, and future of liquid biopsy in cancer diagnostics and precision medicine. Can it replace CT scans? Liquid Biopsy versus CT: Comparison of Tumor Burden Quantification in 1065 Patients with Metastases. Dawi et al.Radiology 2024; 313(2):e232674. 

Hosts Jennifer Weaver and Jonathan Revels explore the game-changing potential of photon-counting CT (PCCT) with experts Dr. Lakshmi Ananthakrishnan and Dr. Fides Schwartz. Recorded at RSNA 2024, this episode covers key advantages, challenges in clinical integration, and its impact on imaging quality. Tune in for practical insights on optimizing PCCT and its future in radiology! Getting Started with Photon-counting CT: Optimizing Your Setup for Success. Schwartz et al. RadioGraphics 2025; 45(2):e240106. 

In this AI-generated episode of Radiology AI Papers in a Capsule, we explore a groundbreaking study on AI-integrated mammography screening. This research, conducted by Elhakim and colleagues from Odense University Hospital, examines how artificial intelligence can optimize screening workflows while maintaining diagnostic accuracy. We break down the study's three integration scenarios, their impact on workload reduction, and the clinical significance of AI-assisted double reading. Tune in for an insightful, AI-curated discussion on the evolving role of AI in radiology. AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study. Elhakim et al. Radiology: Artificial Intelligence 2024; 6(6):e230529.

Dr. Refky Nicola speaks with Dr. Kate Hanneman about her groundbreaking research on the impact of air pollution and extreme temperatures on emergency department imaging utilization. Explore the intersection of climate change, patient health, and medical imaging, and discover how radiology departments can adapt to these evolving challenges. Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution. Hanneman et al. Radiology 2024; 313(2):e241624. 

Dr. Reni Butler speaks with Dr. Ji Soo Choi about her groundbreaking study on non-mass lesions in screening breast ultrasound. Explore key imaging features, their predictive value for malignancy, and how the upcoming BI-RADS lexicon update could transform breast cancer diagnosis. Assessment of Nonmass Lesions Detected with ScreeningBreast US Based on Mammographic Findings. Ha and Choi et al. Radiology 2024; 313(2):e240043

Live recording of the RSNA 2024 Fireside chat hosted by Drs. Paul Yi and Ali Tejani of the Radiology: Artificial Intelligence podcast. This AI Fireside chat was an informal discussion with some of the leaders, movers, and shakers in the field of AI in radiology. This session was recording at RSNA AI Theater for an intimate and storied time of reflection on the year's developments in AI, discussion about where the field is moving, and lively debate over controversial topics relevant to radiology, AI, and beyond. Our esteemed panelists included: Charles Kahn, Jr., MD, MS - Editor of Radiology: AI Linda Moy, MD - Editor of Radiology Nina Kottler, MD, MS - Associate CMO, & Clinical AI VP Clinical Operations, Radiology Partners Matthew Lungren, MD, MPH - Chief Data Science Officer for Microsoft Health & Life Sciences Woojin Kim, MD - Chief Medical Officer, ACR Data Science Institute & Chief Medical Information Officer of Rad AI

Drs. Linda Chu, Lauren Kim, Refky Nicola, Francis Deng, Reni Butler, Ashwin Singh Parihar, and Cristina Marrocchio talk about the top 10 most downloaded Radiology publications in 2024. Top Publications in Radiology, 2024. Moy. Radiology 2024; 313(3):e243436.

Dr. Refky Nicola speaks with Dr. Kate Hahnemann, Associate Professor and RSNA 2024 Program Chair, as she shares her journey from cardiac imaging to radiology leadership. Explore her insights on diversity, mentorship, and sustainability, shaping the future of the field.