Podcasts about Radiology

Dr. Reni Butler discusses career advice for early, mid, and late career radiologists, mentorship, and work life integration with Dr. Stamatia Destounis and Dr. Mark Mullins. This episode was first publish Oct 10, 2023

Chuck and Miles go over MSK Radiology basics with Brooke Beckett, MD. Dr. Beckett is a Radiologist and the Director of the Residency Program at Oregon Health and Science University. In Part 4 of 4, we discuss considerations for ordering imaging and the importance of clinical exam. How do you get better at reading MR images?

In this episode of Medical Matters Podcast, the doctors discuss the strides science has made in the treatment of cancer. An overview of cancerous cells and tumors is provided, along with early treatments, of which there were few. There are four categories of cancer treatment. These methods include precision medicine, and personalized vaccines, radiotherapy, and diagnostics are also examined; the latter may further be assisted by Artificial Intelligence.Recently, a new treatment for pancreatic cancer has been found to double survival time and can be found at Health.com. Another recent potential breakthrough came from research conducted at Cornell University.Today's discussion will also demystify some of the concerns about cancer, its various forms, and the treatments now available. 

An important milestone has been reached in the research of GLP-1 drugs, which first transformed the treatment of diabetes. Then they upended the science - and culture - of weight loss. Now, new studies are fuelling optimism about the drugs' potential role in prevention and treatment - especially in breast, colon and lung cancer. Dr Elizabeth McDonald is a Professor of Radiology in the University of Pennsylvania Perelman School of Medicine and a practicing breast radiologist. Professor McDonald presented the research and speaks with Susie about the results.

In this episode of Keeping Abreast, Dr. Jenn Simmons responds to Peter Attia's breast cancer screening episode (#396). Attia asks the right question: why are 42,000 women still dying of breast cancer every year? But his answer, more mammograms and MRI on top, is exactly wrong. Dr. Jenn breaks down, study by study, why that 40-year approach has never moved the death toll.Forty-two thousand women a year. That number has not moved since mammography went mainstream in the 1980s. Detection rates are up, diagnoses are up, and the death toll has not changed. We have been finding more cancer, calling more women patients, and watching the same number of them die. If you have ever scheduled your annual mammogram believing it was the most protective thing you could do, this episode will reframe everything you thought you knew.What You'll LearnWhy the breast cancer death toll has not moved in 40 years, and why more screening is the reasonWhy DCIS is not cancer, why mammography invented it, and what happens to a woman the moment it gets labeled "stage zero"Why an aggressive tumor is aggressive from the day it forms, and why finding it earlier on a mammogram does not change what it does nextWhy mammography catches the cancers least likely to kill you, and routinely misses the ones that willWhat happened when researchers followed 89,835 women for 25 years and compared annual mammography to doing nothing, and why you have never heard about itWhat the Cochrane review found after analyzing every randomized mammography trial ever run, and why Peter Attia addressed it in one sentenceWhy the WISDOM trial, the most significant recent evidence in this space and the one study Attia never mentions, is an indictment of everything he arguedWhy there is no standard radiation dose for a mammogram, and why the woman next to you in the waiting room may have received ten times less than you didWhat the FDA has formally documented about gadolinium staying in the brain and bones for years, and why the women being told to get it every six months are the last women who shouldWhy insulin resistance, chronic inflammation, and toxic burden are among the most powerful drivers of breast cancer risk, and why Attia's episode contained zero mention of any of themResources MentionedPeter Attia, Episode 396 on breast cancer screening: peterattiamd.com/breastcancerscreeningDr. Robin Berzin, founder of Parsley HealthMiller AB, et al. Twenty five year follow-up of the Canadian National Breast Screening Study. BMJ. 2014;348:g366.Gøtzsche PC, Jørgensen KJ. Screening for breast cancer with mammography. Cochrane Database Syst Rev. 2013;(6):CD001877.Zahl PH, et al. Results of the Two-County trial are not compatible with official Swedish breast cancer statistics. Danish Medical Bulletin. 2006;53(4):438–440.Nyström L, et al. Long-term effects of mammography screening: updated overview of the Swedish randomised trials. Lancet. 2002;359:909–19.Esserman LJ, et al. Risk-Based vs Annual Breast Cancer Screening: The WISDOM Randomized Clinical Trial. JAMA. 2026;335(9):763–774.FDA gadolinium-based contrast agent safety communications (2015, 2017, 2018), summarized in Fotenos A, FDA Pediatric Advisory Committee, Sept 2018.Kanda T, et al. High signal intensity in the dentate nucleus and globus pallidus and cumulative gadolinium dose. Radiology. 2014;270(3):834–841.Veenhuizen SGA, et al. Supplemental breast MRI for women with extremely dense breasts: DENSE trial. Radiology. 2021;299(2):278–286.Tabar L, et al. Reduction in mortality from breast cancer after mass screening with mammography. Lancet. 1985;325:829–32.To talk to a member of Dr. Jenn's team and learn more about working privately with Dr. Jenn visit: https://calendly.com/stephanie-1031/clarity-callTo get your copy of Dr. Jenn's book, The Smart Woman's Guide to Breast Cancer, visit: https://tinyurl.com/SmartWomansBreastCancerGuideTo purchase the auria breast cancer screening test go here https://auria.care/ and use the code DRJENN20 for 20% Off.Connect with Dr. Jenn:Website: https://www.jennsimmonsmd.com/Facebook: https://www.facebook.com/DrJennSimmonsInstagram: https://www.instagram.com/drjennsimmons/YouTube: https://www.youtube.com/@dr.jennsimmons

Chuck and Miles go over MSK Radiology basics with Brooke Beckett, MD. Dr. Beckett is a Radiologist and the Director of the Residency Program at Oregon Health and Science University. In Part 3, the discussion covers MRI as well as CT. What's best in an acute setting vs further out from the injury? What about for osteopenic patients?

Children need to feel seen, safe, and supported! Laura Gould BS CCLS joins host, Raisa Amiruddin MBBS, to discuss the value of soft language, gentle validation, and the impact of giving children a voice in their own care. Discover how simple human connection can transform imaging suites into warm, safe spaces for kids. 

Welcome to Episode 8 of our monthly GU Cast Journal Club! Today we focus on two very important papers in localised prostate cancer and metastatic bladder cancer. The landmark 15 year update of the PROTECT trial, published in NEJM in 2023, and the breakthrough EV-301 trial which heralded enfortumab vedotin in progressive metastatic bladder cancer, published in NEJM in 2021.We are delighted to welcome back our GU Cast Journal Club Editors, Dr Carlos Delgado (Mexico City, MEX), and Dr Elena Berg (Munich, GER), along with main GU Cast Hosts, Renu Eapen and Declan Murphy. Links to papers below:1. Fifteen-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Prostate Cancer NEJM 20232. Enfortumab Vedotin in Previously Treated Advanced Urothelial CarcinomaNEJM 2021Even better on our YouTube channelAbout GU Cast Journal Club:Each month, two papers are discussed, each of which are of importance to the GU Oncology community. These may be recent papers, or occasionally we will chose a classic landmark paper in GU Oncology. The objective is to draw attention to important papers in GU Oncology, and critique these in a robust manner. The key target audience is trainees working in Urology, Medical Oncology, Radiation Oncology, Nuclear Medicine, and diagnostic specialties such as Radiology and Pathology. But any of our regular audience are likely to enjoy this Journal Club series.

First up on the podcast, producer Kevin McLean talks with Staff Writer Paul Voosen about the latest on the Atlantic Meridional Overturning Circulation, or AMOC. Researchers have long been concerned that global warming could cause a collapse in the AMOC, which would trigger dramatic cooling in Northern Europe. But recent data and models suggest the AMOC may be more resilient than previously thought. Next on the show, Scott Marek, assistant professor in the Mallinckrodt Institute of Radiology at Washington University School of Medicine, talks with host Sarah Crespi about brainwide association studies (BWAS) for childhood brain development. BWAS measure structure and function across many brains and look for correlations between these measures and behavior, disease, and environment. In this work, Marek and colleagues focus on how socioeconomic factors—captured by zip code—are strongly correlated with certain brain differences in more than 4000 children ages 9.5 to 11. The work also suggests lack of sleep and excess screen time could mediate the influence of socioeconomic conditions on differences in brain structure and function. This week's episode was produced with help from Podigy. About the Science Podcast Photo: P. Voosen/Science Learn more about your ad choices. Visit megaphone.fm/adchoices

First up on the podcast, producer Kevin McLean talks with Staff Writer Paul Voosen about the latest on the Atlantic Meridional Overturning Circulation, or AMOC. Researchers have long been concerned that global warming could cause a collapse in the AMOC, which would trigger dramatic cooling in Northern Europe. But recent data and models suggest the AMOC may be more resilient than previously thought. Next on the show, Scott Marek, assistant professor in the Mallinckrodt Institute of Radiology at Washington University School of Medicine, talks with host Sarah Crespi about brainwide association studies (BWAS) for childhood brain development. BWAS measure structure and function across many brains and look for correlations between these measures and behavior, disease, and environment. In this work, Marek and colleagues focus on how socioeconomic factors—captured by zip code—are strongly correlated with certain brain differences in more than 4000 children ages 9.5 to 11. The work also suggests lack of sleep and excess screen time could mediate the influence of socioeconomic conditions on differences in brain structure and function. This week's episode was produced with help from Podigy. About the Science Podcast Photo: P. Voosen/Science Learn more about your ad choices. Visit megaphone.fm/adchoices

Brooke Beckett, MD, is a Radiologist and the Director of the Residency Program at Oregon Health and Science University. In Part 2, we look at a radiograph and discuss basics of appearance of air, fat, tissue, bone and metal. What do you tell patients who are worried about radiation for a CT scan or xray?

AI can detect lung nodules in milliseconds—so why hasn't radiology been transformed? In this episode of Med Tech Gurus, we sit down with Khan Siddiqui, radiologist, serial entrepreneur, and CEO of HOPPR, to unpack why most AI tools in medical imaging struggle to survive beyond pilot studies. Dr. Siddiqui explains that detection isn't the real problem—workflow is. As imaging volumes surge and radiologist shortages intensify, AI must deliver measurable ROI in time savings, reporting efficiency, and reduced cognitive load. Tools that add clicks or increase reading time simply won't scale. We explore HOPPR's AI-native platform, which accelerates model development, enables local fine-tuning, and integrates AI directly into existing clinical workflows. Khan also shares powerful lessons on fundraising, identifying "hair-on-fire" customers, building A-player teams, and scaling innovation responsibly in regulated healthcare environments. If you care about AI in healthcare, radiology innovation, or moving from hype to real-world adoption, this episode delivers practical insight from one of the field's pioneers.

Have you heard about the Interventional Initiative? Isabel Newton, MD, PhD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss filmmaking lessons from her experience creating the award-winning docuseries "Without a Scalpel", global partnerships while filming in Tanzania, and fostering patient access for minimally invasive care options. 

Dr. Linda Chu explores the latest radiology research shaping the future of Crohn's disease diagnosis and management, from revised imaging criteria for bowel strictures to emerging MR elastography techniques that better assess intestinal fibrosis. She also highlights advances in abbreviated MR enterography and practical MRI approaches for perianal fistulas, emphasizing how imaging innovation may improve patient outcomes and clinical decision making.   Revised Criterion for Identifying Small-Bowel Stricture in Crohn Disease at CT Enterography. Choi and Choi et al. Radiology 2026; 318(3):e253113.    MR Elastography Characterization of Biomechanical Properties to Enhance Enterographic Fibrosis Diagnosis. Chen and Wang et al. Radiology 2026; 318(2):e252429.    MR Elastography Biomarkers for Fibrosis in Crohn Disease Strictures. Qiu. Radiology 2026; 318(3):e250358.    Comparison of Conventional versus Abbreviated MR Enterography: Assessing Disease Activity and Complicationsin Crohn Disease. Rimola et al. Radiology 2026; 319(2):e252039.    How I Do It: MRI Approach to Perianal Fistulas. Stoker and Halligan. Radiology 2026; 319(2):e251909. 

In this episode of the RSNA RadioGraphics team podcast mini-series, Dr. Jason Cai interviews our guest, Dr. Laura Oleaga, a neuroradiologist at the Hospital Clinic Barcelona, about her insights on the rewards and challenges of an academic radiology path. She discusses the key responsibilities, necessary skills, and mindsets, as well as tips for finding the right mentors. Whether you're interested in education, research, or leadership roles, Dr. Oleaga provides valuable guidance to help trainees make an informed decision about their future career direction.

Brooke Beckett, MD, is a Radiologist and the Director of the Residency Program at Oregon Health and Science University. In Part 1 of her interview, she discusses with Chuck and Miles some important core concepts for reading radiographs and ordering images in general.

Dr. Bradley Erickson, Director of the Mayo AI Lab, speaks with HexAI podcast host, Jordan Gass-Pooré in advance of the University of Pittsburgh's annual AI Summer School program in Medical Imaging Informatics organized by Pitt's Health and Explainable AI Research Lab (HexAI) and the Computational Pathology and AI center of Excellence (CPACE). The episode simulates two different professional vantage point scenarios to help students visualize the vast, multi-dimensional landscape of artificial intelligence in healthcare and radiology.The first half of the episode drops students directly into the vantage point of an AI expert attending a technical conference, where medical imaging informatics are being contrasted with everyday computer vision. Dr. Erickson explains how medical data often extends into multiple dimensions by incorporating complex spatial matrices and tissue properties like T1 and T2 tracking on MRIs, far surpassing standard 2D photographic pixels. He highlights why generic consumer AI tools like simple heat maps or saliency maps fall short of establishing clinical trust; while they can successfully point to where a brain tumor is, they completely fail to explain what that tumor is or why it is changing texture. Furthermore, Dr. Erickson discusses the profound challenge of "ground truth" uncertainty in medicine, explaining that training predictive algorithms is incredibly difficult because definitive biological labels are frequently masked by biological reactions or a lack of definitive longitudinal data.The second half of the podcast episode places students into the role and vantage point of a hospital administrator, exposing students to the active economic and structural deliberations currently playing out in modern hospital boardrooms. Dr. Erickson underscores the considerations and financial constraints that hospitals contend with and explains that while new narrowly focused diagnostic AI tools are attractive, the most immediate return on investment for hospitals often comes from practical, language-based text summarization and ambient patient recording systems. Crucially, this administrative perspective teaches students that the health industry desperately needs supportive roles beyond traditional doctors and researchers, such as AI project managers, integration specialists, and governance officers who can oversee model confidence and decide exactly when to adapt AI solutions or pull failing applications or algorithms back.Dr. Erickson emphasizes that entering this revolutionary field requires a willingness to learn through iteration, push back on assumptions, and manage the critical intersections of technology, safety, and human care. Through an open exploration of technical hurdles and administrative realities, the episode provides a rich conceptual primer for AI Summer School participants designed to cultivate critical thinking informing views on AI in medical imaging, hands-on project development and coding.

Host Dr. Refky Nicola is joined by Dr. Zehra Akkaya, Dr. Gabby Joseph, and Dr. Thomas Link to explore new research connecting ultra-processed food consumption with thigh muscle fat infiltration on MRI. Together, they unpack how dietary patterns may impact muscle quality, metabolic health, and the future role of nutritional radiology in patient care.    Ultra-processed Foods and Muscle Fat Infiltration at Thigh MRI: Data from the Osteoarthritis Initiative. Akkaya et al. Radiology 2026; 319(1):e251129.

In this episode of The Joys of Radiology, host Dr. Gautam Agarwal sits down with Dr. Erin Gomez, Assistant Professor of Radiology and Program Director of Diagnostic and Molecular Imaging Residencies at Johns Hopkins, for a conversation about building a meaningful life and career in medicine. Before becoming an award-winning radiologist and educator, Dr. Gomez was an engineering student working with NASA contractors at the Kennedy Space Center. What followed was an unexpected journey into radiology, where she discovered a passion for imaging, education, mentorship, and leadership. Together, they explore what brings joy to radiology, how great educators inspire the next generation of physicians, the evolving role of AI in radiology education, and the importance of creating a sustainable career without sacrificing the things that matter most outside of medicine. From teaching anatomy and mentoring residents to balancing academic medicine with family life, Dr. Gomez shares thoughtful insights on finding purpose, embracing growth, and leading with empathy. Most importantly, she leaves listeners with a simple but powerful piece of advice: "Run toward fear."

Dr. Linda Chu and Dr. Christos Georgiades for an in-depth look at thermal and non-thermal liver ablation, explaining how techniques like microwave ablation, cryoablation, and histotripsy work at a mechanistic level. Their conversation also explores how clinicians choose the right approach for each patient and highlights emerging advances in immunologic strategies and AI shaping the future of liver tumor treatment.   Thermal and Nonthermal Liver Ablation: Mechanistic Foundations, Clinical Implementation, Immunologic Trial Design, and Artificial Intelligence.  Centner et al. Radiology 2026; 318(3):e25026.   

What if the persistent pelvic pain, the performance issues in the bedroom, or that nagging brain fog isn't just a physical "glitch," but a physical manifestation of an underlying mental struggle? Most men are trained to wear a mask in the clinic, but the body always keeps the score. When a man avoids reality, his physiology pays the price.Today, we're peeling back that mask with Dr. Daniel Margolis. Dr. Margolis is an Associate Professor of Radiology at Weill Cornell Medicine in New York City and a world-renowned diagnostic radiologist. A graduate of UC Berkeley and USC, he completed advanced fellowships at Stanford and UCLA, specializing in using MRI to detect and characterize prostate cancer. With over 90 publications to his name, Dr. Margolis serves on the ACR PI-RADS Committee and Co-Chairs the Society of Abdominal Radiology Prostate Cancer Panel. He isn't just someone who looks at screens; he's the "driver" of the most advanced imaging "cars" in the world. If you've been worried about Gadolinium brain deposits or simply want to know if you can skip the needle during your next scan, this is the masterclass you've been waiting for.In this episode, you'll learn:The Biparametric Breakthrough: Why most men can now skip MRI contrast without missing significant cancer.1.5T vs. 3T: Why a "stronger" magnet isn't always better, especially if you have a hip replacement.The Biopsy-Free Future: How AI and blood tests are converging to eventually eliminate the needle.Expert Vetting: How to tell if your radiologist is a "pro" or just a "tech" by looking for ACR certification.Chapters00:00 – Intro & Why MRI Matters in Prostate Cancer02:45 – How Many MRIs Does a Radiologist Read a Day?06:20 – Will AI Replace Radiologists?11:20 – The PRIME Trial: Can We Skip MRI Contrast Dye?14:15 – 1.5 Tesla vs 3 Tesla MRI: Does It Matter?22:45 – How to Know if You're Getting a Good Prostate MRI24:00 – Multiparametric vs Biparametric MRI Explained35:00 – PRIME Trial Results: Did Contrast Actually Matter?38:15 – Is Gadolinium Contrast Safe?44:20 – Why the PRIME Trial Worked: Quality Control Matters48:00 – Who Still Needs Contrast on Their MRI?56:00 – Will Prostate Biopsies Disappear?59:00 – How AI is Changing Prostate MRI___________________________________

In this episode of Medsider Radio, we sat down with Dr. Connie Lehman, founder and CEO of Clairity.Clairity is the first FDA-authorized AI platform that predicts a woman's five-year risk of developing breast cancer using only a routine screening mammogram.A physician scientist with over 300 peer-reviewed publications, Connie is a Professor of Radiology at Harvard Medical School and Breast Imaging Specialist at Massachusetts General Brigham (on leave). She holds an MD and PhD from Yale and was named to Forbes' 50 Over 50 Innovators and TIME 100 World's Most Influential Leaders in Health.In this interview, Connie discusses her experience translating academic research into a commercially viable startup, the massive undertaking of generating clinical evidence when you're creating a new category, and how Clairity is approaching adoption on two fronts: fitting into physician workflows and building access pathways for patients.Before we dive into the discussion, I wanted to mention a few things:First, if you're into learning from medical device founders and CEOs and want to know when new interviews are live, head over to Medsider.com and sign up for our free newsletter.And if you're ready to level up your medtech game, you should check out Medsider Courses — 8-week masterclasses covering topics like fundraising, M&A and exit planning, design and development, clinical and regulatory strategy, and commercialization.These courses, featuring hard-earned lessons from elite medtech CEOs, can be purchased individually or come free with our All-Access Pass.If you'd rather read than listen, here's a link to the full interview with Connie Lehman, which includes a link to ScottBot — an AI version of host Scott Nelson trained on every Medsider interview and playbook. Feel free to ask ScottBot any questions you'd like!KEY MOMENTS FROM THE INTERVIEW(03:04) - The broken screening paradigm Connie saw in clinic — and the gap that became Clairity (05:09) - How Clairity rolls the clock back from detection to predicting risk in healthy women (07:31) - Why "more data is better" turned out to be wrong and how that shaped Clairity's product scope (21:57) - How physicians can translate grant-generating discipline into building a company (24:56) - What 18 months of pre-sub meetings revealed about navigating a de novo pathway (26:49) - Why Clairity validated its technology in over 250,000 mammograms when FDA required far less (34:43) - How Connie flipped the natural question from "how can doctors offer this?" to "how can women access it?" (43:47) - How relationships, not pitches, drove Clairity's $43M Series B

In this episode, host Sylvie Legere sits down with Shira Kupperman Boehler and Dr. Kim Sandler to discuss the vital topic of early lung cancer detection. Having been diagnosed after a precautionary scan, non-smoker Shira shares her harrowing journey and advocates for change in diagnostic guidelines. Broadcasting from Wrigley Field emphasizes the importance of transforming how lung cancer is diagnosed, and how it is perceived by the medical community and public. Their conversation dives into the shortcomings of current screening guidelines and the urgent need for change to save more lives, especially for those who don't fall within the traditional risk categories. Through personal narratives and professional expertise, Dr. Sandler and Shira Kupperman Boehler share a holistic approach to detect lung cancer early by employing cutting-edge technologies and personalized medicine.  Act after listening: 1. Find out if you qualify for a free scan. If you're between 50–80 with a significant smoking history, you may be eligible for an annual low-dose CT scan — covered by Medicare and most private insurance. (Link in Resources below) 2. Ask your doctor even if you don't qualify. The current guidelines don't cover never-smokers — but that doesn't mean your risk is zero. At your next appointment, ask: "What is my personal lung cancer risk, and should I be screened?" Don't wait for symptoms. 3. Add your voice to change the guidelines. The screening criteria need to be expanded. Visit the Cancer Doesn't Care Foundation to learn how to advocate for policy change — and to share your own story if you have one. 4. Share this episode. The person who needs to hear this probably thinks they're fine. Send it to someone you love.  Guest Bios Shira Kupperman Boehler is a finance professional and health advocate with degrees in Molecular and Cell Biology from the University of California, Berkeley, and an MBA from New York University's Stern School of Business. A lifelong athlete and mother of four, she now channels her experience into raising awareness about early lung cancer detection and advancing conversations around prevention and policy. Shira and her family live in Tennessee, where she juggles life from her minivan with a coffee in one hand and a carpool schedule in the other.   Dr. Kim Lori Sandler -  Kim is a Nashville native who completed her undergraduate education at Emory University and both medical school and residency at Vanderbilt University. She trained as a cardiothoracic radiologist and is currently a Professor of Radiology and Radiological Sciences at Vanderbilt University Medical Center.  Dr. Kim is a clinician-scientist and serves as the Director of the Vanderbilt Lung Screening Program. She is a women's health advocate who is working to leverage the success of screening for breast cancer to improve enrollment of women in lung screening.  Her research also focuses on improving lung cancer risk prediction and early detection with the incorporation of machine learning and both imaging and blood-based biomarkers.  Resources & Links Visit Shira Kupperman Boehler's Website Order Shira's book ‘Cancer Doesn't Care' and learn more about Shira Boehler's campaign to change the national lung screening guidelines Take The American Lung Association's "Saved By The Scan" quiz Take the Lung Cancer Basics & Screening Eligibility Quiz from LUNGevity 

Transforming healthcare delivery in resource-limited contexts around the world calls for compassionate, innovative solutions. Learn how The Luke Commission is bringing healthcare to the most isolated and underserved in Eswatini through a scalable model for advancing health equity.

In this episode, Stephen B. Williams, MD, MBA, MS, FACS, FACHE, Associate Chief Medical Officer, UTMB Clear Lake, Medical Director for High Value Care, UTMB Health System, Chief, Division of Urology, Professor (Tenured), Urology and Radiology, The Robert Earl Cone Professorship, Director of Urologic Oncology, The University of Texas Medical Branch,discusses physician leadership, operational transformation, and the growing impact of artificial intelligence in healthcare.

Dr. Reni Butler speaks with Dr. Roberto Lo Gullo and Dr. Katja Pinker-Domenig about the growing role of abbreviated MRI in evaluating treatment response for breast cancer patients undergoing chemotherapy. They explore the balance between efficiency and accuracy, current limitations, and how emerging AI technologies could shape the future of breast imaging and patient care. Abbreviated MRI for the Evaluation of Treatment Response in Patients Undergoing Neoadjuvant Chemotherapy for Breast Cancer. Lo Gullo et al. Radiology 2026; 319(1):e252413 

Scientific Sense ® by Gill Eapen: Prof. Isabel Gauthier is Professor of Psychology, Radiology and Radiological Sciences at Vanderbilt University. She is interested in how we recognize objects visually, and how our experience with objects transforms our visual system.Please subscribe to this channel: http://scientificsense.world

In this series, we are exploring the common and not-so-common specialties in medicine. Nuclear medicine sits at the crossroads of imaging and molecular science, revealing how disease behaves at a cellular level rather than just how it looks. In this episode, we explore how this often-overlooked specialty is shaping diagnosis, guiding therapy, and redefining the future of precision medicine.Dr. Erica Major is the Assistant Chief of Nuclear Medicine and Site Director of Radiology and Nuclear Medicine Education at Edward Hines VA, where she oversees medical student and resident training. She holds multiple leadership positions in the American College of Nuclear Medicine and the Society of Nuclear Medicine and Molecular Imaging, and is a past member of the ACGME Residency Review Committee. Her primary interest is advancing the field of theranostics, which combines nuclear oncology with personalized cancer therapy. You can contact Dr. Major at erica.major@va.gov To learn more about nuclear medicine, check out these sources:https://acnmonline.org/https://snmmi.org/ Episode produced by: Rasa ValiaugaEpisode recording date: 4/2/26www.medicuspodcast.com | medicuspodcast@gmail.com | Donate: http://bit.ly/MedicusDonate

Mission control, we need a read! Michael Polen, MD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss his incredible journey into space medicine, including engagement with the team leading the first radiograph obtained in space, medical conditions occurring during weightlessness, and the commercial shift into space research.

What is cultural distress? It is a negative response rooted in a cultural conflict where the patient lacks control over their situation. It results in more physiologic effects on the body resulting in allostatic overload. To prevent this, healthcare practitioners must use strategies such as cultural humility to help patients navigate healthcare. Come find the best ways to deliver culturally sensitive care in any setting.

Louis Blankemeier, CEO and Co-Founder of Cognita, describes the significant gap between the number of radiologists and the rising volume and types of medical imaging that need to be reviewed.  The Cognita generative visual language model is an advancement over earlier radiology AI applications that were designed to flag single findings.  This integrated approach emulates a radiologist by analyzing complex images and generating full draft radiology reports, demonstrating reduced time per case, increased detection of critical findings, and decreased cognitive burden on radiologists. Louis explains, "Radiologists look at a number of different imaging types. So there are X-rays, and these are basically 2D images or 2D projections of the inside of the body. So you see all the organs superimposed on each other in a 2D image. And the radiologists have to take this 2D image and create almost a 3D representation in their head to understand what's going on in the body. They also read CT scans, which use X-ray radiation but take multiple images from different angles of the body. And then you basically reconstruct a 3D video that shows you what the inside of a body looks like. And then there are also MRI scans, which use magnetism to create a video of the inside of the body. And CT and MRI are 3D imaging modalities. So they're both kind of like videos. And you have an ultrasound, which uses sound waves, and you have a long tail of different imaging types.  But radiologist spend most of their time looking at X-rays, CT scans, and MRI images."   "A vision language model is a model that has eyes, so it can actually look at images, and then the language part describes how we are generating text in the output. And we can actually add one more descriptor to vision language. We can add the term generative. So we're actually generating text in the output of our model. We're generating the radiology report. And this is in contrast to most models out there today that are discriminative. There are these classifier models that are saying, " Is there a disease present or not? And the output is binary. It's zero one. It's not a text report in the output." #Cognita #AIinRadiology #GenerativeAI #VisionLanguageModels #RadiologyWorkflow #DiagnosticImaging #MedicalAI #HealthcareInnovation #RadiologistSupport #ClinicalDecisionSupport #PatientSafety #BurnoutReduction #FDA #BreakthroughDevice #DigitalHealth #HealthTech Cognita.ai Download the transcript here

Louis Blankemeier, CEO and Co-Founder of Cognita, describes the significant gap between the number of radiologists and the rising volume and types of medical imaging that need to be reviewed.  The Cognita generative visual language model is an advancement over earlier radiology AI applications that were designed to flag single findings.  This integrated approach emulates a radiologist by analyzing complex images and generating full draft radiology reports, demonstrating reduced time per case, increased detection of critical findings, and decreased cognitive burden on radiologists. Louis explains, "Radiologists look at a number of different imaging types. So there are X-rays, and these are basically 2D images or 2D projections of the inside of the body. So you see all the organs superimposed on each other in a 2D image. And the radiologists have to take this 2D image and create almost a 3D representation in their head to understand what's going on in the body. They also read CT scans, which use X-ray radiation but take multiple images from different angles of the body. And then you basically reconstruct a 3D video that shows you what the inside of a body looks like. And then there are also MRI scans, which use magnetism to create a video of the inside of the body. And CT and MRI are 3D imaging modalities. So they're both kind of like videos. And you have an ultrasound, which uses sound waves, and you have a long tail of different imaging types.  But radiologist spend most of their time looking at X-rays, CT scans, and MRI images."   "A vision language model is a model that has eyes, so it can actually look at images, and then the language part describes how we are generating text in the output. And we can actually add one more descriptor to vision language. We can add the term generative. So we're actually generating text in the output of our model. We're generating the radiology report. And this is in contrast to most models out there today that are discriminative. There are these classifier models that are saying, " Is there a disease present or not? And the output is binary. It's zero one. It's not a text report in the output." #Cognita #AIinRadiology #GenerativeAI #VisionLanguageModels #RadiologyWorkflow #DiagnosticImaging #MedicalAI #HealthcareInnovation #RadiologistSupport #ClinicalDecisionSupport #PatientSafety #BurnoutReduction #FDA #BreakthroughDevice #DigitalHealth #HealthTech Cognita.ai  Listen to the podcast here

In this episode, host Dr. Refky Nicola speaks with Dr. Francesco Giganti and Dr. Alex Kirkham about how MRI is used to guide active surveillance in prostate cancer, including the role of PRECISE scoring in tracking disease progression. They share practical insights on imaging techniques, measurement challenges, and how emerging AI tools may improve consistency and decision-making in surveillance care. MRI for Active Surveillance in Prostate Cancer: How I Do It. Giganti et al. Radiology 2026; 318(3):e242164.  

Radiology technician Carl Tanzler was a bit too obsessed with one of his patients.

BUFFALO, NY – May 11, 2026 – A new #editorial was #published in Volume 17 of Oncotarget on May 4, 2026, titled “Artificial intelligence in nutritional oncology: From isolated screening tools to agentic intervention systems.” The editorial was authored by first author Arnab Sarkar and corresponding author Yashbir Singh-Wolkenhauer, who is affiliated with the Mayo Clinic Department of Radiology. In this editorial, the authors examine how emerging forms of artificial intelligence may help address one of oncology's most persistent yet underrecognized challenges: cancer-related malnutrition. Although nutritional complications affect a large proportion of cancer patients and are associated with poorer treatment tolerance, prolonged hospitalizations, and reduced survival, access to specialized nutritional care remains severely limited in many healthcare settings. The article focuses on the growing role of “agentic AI,” a new class of autonomous AI systems capable of reasoning across complex clinical information, using external tools, maintaining memory, and adapting to changing patient conditions over time. Unlike conventional AI tools that perform isolated tasks such as malnutrition screening or dietary counseling, agentic AI systems are designed to coordinate multiple functions simultaneously and support ongoing clinical decision-making throughout a patient's treatment course. “Where a conventional model answers the question “Is this patient malnourished?”, an agentic system pursues the goal ‘Optimize this patient's nutritional status throughout their treatment course,' autonomously decomposing that objective into sensing, reasoning, and acting steps.” The authors outline a proposed multi-agent framework for nutritional oncology that includes specialized AI agents responsible for nutritional screening, dietary planning, treatment-nutrition interaction monitoring, and patient engagement. These agents would operate together under a centralized coordination system capable of integrating laboratory data, imaging findings, treatment-related side effects, food preferences, wearable device data, and electronic health records in real time. The proposed architecture is illustrated in Figure 1 of the paper (page 2), which depicts how multiple AI agents could coordinate patient-centered nutritional support across oncology workflows. Importantly, the editorial emphasizes that clinical oversight remains essential. The authors propose a graduated autonomy model in which lower-risk functions, such as recipe recommendations or symptom-triggered dietary advice, may operate with minimal supervision, while higher-risk decisions involving enteral or parenteral nutrition would continue to require direct clinician authorization. The article also highlights several major barriers that must be addressed before widespread clinical implementation becomes possible. These include AI hallucination risk, regulatory uncertainty, privacy concerns involving integrated patient data, and the potential for algorithmic bias when systems are trained predominantly on Western dietary and clinical datasets. The authors further note that no randomized controlled trials have yet evaluated AI-driven nutritional interventions against major oncologic outcomes such as survival or treatment completion. Overall, the editorial presents agentic AI as a potentially important next step in supportive cancer care. By integrating nutritional assessment, personalized dietary planning, and longitudinal patient monitoring into coordinated AI-driven systems, these technologies may help close longstanding gaps in oncology nutrition services while supporting more individualized and responsive patient care. DOI - https://doi.org/10.18632/oncotarget.28874 Correspondence to - Yashbir Singh-Wolkenhauer - singh.yashbir@mayo.edu Introduction video - https://www.youtube.com/watch?v=sVKhRSr5xaY Website: https://www.oncotarget.com MEDIA@IMPACTJOURNALS.COM

Buying more software does not automatically equal higher productivity in radiology.Vijay Ramanathan, CEO at Ramsoft, and Charlie Lamb, CEO at Lamb Technologies, break down the realities of modern medical imaging. They explain why successful IT deployments require deep workflow integration instead of just dropping off a new product. Viewers will learn how to shift from reactive break-fix IT to continuous optimization that actually helps clinicians do more with less.In addition, hear how a long-term partnership between a service provider and solution vendor has evolved through years of collaboration in a changing healthcare environment – and how that parallel evolution has helped both organizations.

From his early years growing up in postwar Germany to shaping global conversations around radiology informatics and AI, Christoph Wald, MBA, MD, PhD,  has built a career defined by curiosity, craftsmanship, and a deep commitment to service. In this episode, he sits down with host Geoffrey Rubin, MD, MBA, FACR, for a wide-ranging and thoughtful conversation that traces his journey from a childhood spent building, fixing, and making music, to a career at the forefront of radiology innovation and leadership. Along the way, Dr. Wald reflects on formative influences from his father's hands-on ingenuity to immersive experiences in music and education that instilled in him a lifelong belief in learning by doing. Dr. Wald shares pivotal moments that shaped his professional path, including his training across Germany, Scotland, and the United States, and his early exposure to collaborative, outcome-driven care at Lahey Clinic. He discusses his role in pioneering work in liver transplant imaging, launching one of the nation's earliest lung cancer screening programs, and helping to foster a culture of peer learning grounded in trust, transparency, and continuous improvement. As the conversation turns to the future, Dr. Wald offers a thoughtful perspective on the evolving role of radiologists in the age of AI. He explores how the profession may shift from image interpretation to a broader form of information stewardship and why leading in harmony across disciplines, technologies, and teams will be essential to navigating the changes ahead. Beyond medicine, Dr. Wald reflects on the enduring role of music in his life, the importance of community, and the value of creating space for reflection in a fast-moving world. Insightful, grounded, and forward-looking, this conversation explores what it means to lead with curiosity, build culture with intention, and create alignment across people and purpose in shaping the future of radiology.                Behind the Mic Dr. Wald has been married to his wife, Ute, since 2005. An Austrian opera singer turned coach and wellness professional, she brings a creative balance to his life outside medicine. Together, they have a daughter, Maxine, a 20-year-old fashion styling student in Milan, and a nearly 12-year-old labradoodle, Barolo, often described as Maxine's jealous younger sibling. Outside of work, Dr. Wald enjoys tennis, cooking, and sharing great meals with friends. While he doesn't love the mechanics of travel, he values time spent in places known for exceptional food and culture - especially Northern Italy and Vienna. A self-described “pathologically curious” problem-solver, his early fascination with engineering, shaped by his father, evolved into a career in medicine after time spent in military service. Initially pursuing surgery, he discovered radiology during a clerkship and was drawn to its unique blend of technology, procedures, and intellectual challenge—something he likens to a lifelong love of solving a good “whodunit.” His tastes in food are wide-ranging, with a particular love for Italian cuisine, along with French, Greek, Middle Eastern, and select German and Austrian dishes. His drink of choice depends on the meal - beer with bratwurst, wine more often than not, and the occasional craft cocktail, which he describes as “cooking with liquids.” On a rare unstructured day, he enjoys simple pleasures: listening to music (often via the Berlin Philharmonic Digital Concert Hall), lingering over conversations with friends, or spending time in the garden where he jokingly engages in “small animal and chemical warfare” to protect his roses.

Breast Cancer Awareness Month may spotlight October but breast health is a year-round commitment. In this empowering episode of All Talk Oncology, host Kenny Perkins (Your Cancer Guy) welcomes Chicago-based breast radiologist Dr. Sonya Bhole for a candid, evidence-based conversation about mammograms, breast density, MRI screening, and why fear should never stop you from getting checked. Dr. Bhole breaks down updated screening recommendations supported by the American College of Radiology and the Society of Breast Imaging, including why all women should receive a breast cancer risk assessment by age 25 and begin annual screening mammograms at age 40 (or earlier if high risk). With breast cancer incidence increasing approximately 1% per year—and even higher in women under 50—this episode challenges listeners to replace anxiety with empowerment through knowledge. In this episode, Dr. Bhole discusses: What a breast cancer risk assessment at age 25 actually means (and how to get one) Why screening mammograms begin at 40—and how they save lives What happens during a mammogram and why compression is necessary The difference between screening vs. diagnostic imaging What “dense breast tissue” means and why 50% of women have it Why dense breasts can make cancer harder to detect When supplemental screening like MRI or ultrasound may be needed Why breast awareness is more important than fear Why men should help advocate for the women in their lives Dr. Bhole also addresses the anxiety surrounding mammograms, reminding listeners that the vast majority of screenings are normal and even call-backs for additional imaging are often benign. Her message is clear: Know your breast density. Know your risk. Advocate for yourself. Because early detection doesn't just change outcomes.. it saves lives. Immortalize your voice by being an ALL TALK ONCOLOGY GUEST! Just fill-out this FORM. Invite Kenny Perkins to Speak or Participate on your event. Just fill-out this FORM.   SOCIAL MEDIA LINKS: All Talk Oncology: Instagram & Facebook JOIN OUR FREE COMMUNITY: Facebook Community WEBSITE: www.alltalkoncology.com Hashtags:  #BreastCancerScreening #KnowYourDensity #Mammogram #WomensHealth #AllTalkOncology #EarlyDetection

Dr. Ashwin Singh Parihar sits down with Dr. Iben Lyskjær and Dr. Tommy Kjærgaard Nielsen to unpack new nationwide registry data comparing ablation and surgical approaches for small renal masses. Together, they explore how minimally invasive treatments stack up in real-world practice and what the findings mean for patient selection, outcomes, and future care decisions. Ablation and Surgery Show Comparable Long-term Outcomes for T1a Renal Cell Carcinoma: A Danish Nationwide Registry Study. Ahrenfeldt et al. Radiology 2026; 318(3):e251485.

Here's why the “AI will cause mass unemployment” narrative is probably wrong. Every major wave of technology has triggered the same fear, and every time it's played out differently. AI doesn't just replace jobs, it shifts them. It removes repetitive work, increases productivity, and creates entirely new roles that didn't exist before. In this video I walk through real historical data from radiology, agriculture, spreadsheets, and ATMs to show how job displacement actually works, why demand often increases, and how AI acts as a multiplier rather than a replacement. Chapters (00:00) The mass unemployment narrative(00:22) Radiology example (AI vs jobs)(01:08) AI as a demand multiplier(02:06) Drivers and task vs job thinking(02:28) Agriculture automation (tractor era)(03:46) Spreadsheets and job evolution(05:25) ATM prediction vs reality(05:42) Creative destruction explained(06:36) Why AI likely creates more opportunity

Dr. Lauren Kim sits down with Dr. Jonathan Kottlors to explore how large language models are reshaping radiology research and why standardized reporting is critical for trust and reproducibility. They dive into the new FLAIR framework and what it means for the future of AI integration in clinical radiology.   Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey. Kottlors and Iuga et al. Radiology 2026; 318(2):e250913.

In this inaugural episode of The Joys of Radiology, host Dr. Gautam Agarwal sits down with renowned educator and radiologist Dr. Marc Gosselin for a wide-ranging conversation on what truly shapes a great physician. From training at McGill University, the University of Vermont, and Stanford University to decades of teaching and mentoring, Dr. Gosselin shares hard-earned wisdom on learning to see rather than simply memorize, questioning medical orthodoxy, preventing burnout, and why your first years in practice can be the most transformative of your career. Most importantly, he delivers a message every trainee needs to hear: “The residency doesn't make you good. You make yourself good.” This episode is packed with insight for medical students, residents, fellows, practicing radiologists, and anyone navigating purpose, growth, and professional fulfillment in medicine. In This Episode: How to choose the right residency or first job Why curiosity matters more than prestige The hidden causes of physician burnout Why mentorship changes everything How to build a meaningful career in radiology Learning to challenge dogma and think independently

In this episode, Dr. Linda Chu reviews new Radiology studies exploring how photon counting CT is transforming thoracic imaging with ultra‑high resolution and dramatically lower radiation and contrast doses. She examines whether these visually striking images translate into better diagnostic confidence and meaningful improvements in patient care for emphysema and lung cancer imaging.   Ultra-Low-Dose Photon-counting Detector CT for EmphysemaAssessment: A Head-to-Head Comparative Study with Low-Dose CT. Yuan and Yang et al. Radiology 2026; 318(1):e251609.   Photon-counting CT versus Energy-integrating Detector CTin Imaging Lung Cancer. Yang et al. Radiology 2026; 318(2):e251126.   Photon-counting CT versus Energy-integrating Detector CTPerformance for Various BMI and Tumor Sizes in Lung Cancer. Zhou and Guo et al. Radiology 2026; 318(2):e251663.   Prospective Evaluation of Ultra-Low-Dose Photon-counting CT inEmphysema Assessment. Schwartz. Radiology 2026; 318(2):e254065. 

** The New Dentist Day of Experts: https://bit.ly/4stBGa4 **When most pre-dental students think about dentistry, they picture working chairside, running a practice, and the physical demands that come with it. But what if there was another path… one that offers a completely different lifestyle?In this episode, we're diving into Dental Radiology (Oral and Maxillofacial Radiology) — one of the most overlooked dental specialties that hardly anyone talks about. If you've ever wondered whether you have to follow the traditional clinical route, this conversation will open your eyes to a career option that prioritizes flexibility, lower physical strain, and a unique role in patient care.We break down what a dental radiologist actually does, the training pathway, and why this specialty might be a great fit for certain personalities and long-term goals. Whether you're just starting your pre-dental journey or already thinking ahead to specialization, this is one perspective you don't want to miss.If you're feeling unsure about the physical demands of dentistry or simply want to explore all your options before committing, this episode is for you.✨ TakeawaysDental radiology is one of the least talked about specialties in dentistryYou don't have to work chairside to have a successful dental careerLifestyle, flexibility, and long-term sustainability look very different in this pathUnderstanding all specialties early can help you make more confident decisionsThere are more ways to build a fulfilling career in dentistry than you thinkDr. Samantha Ryan: https://www.tiktok.com/@samanthagallia?lang=enEngage with the podcast on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/dentaldownloadpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Podcast TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@dentaldownloadpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Haley's Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/dr.haley.dds⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Haley's TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@dr.haley.dds?lang=en⁠⁠⁠⁠⁠

Drs. Ali Tejani and Paul Yi sit down with Dr. Jesse Courtier to explore his journey from academic radiology to startup founding and venture capital. The conversation dives into innovation, AI in radiology, and how clinicians can shape the future beyond the reading room. Radiology: Artificial Intelligence Journal

April 16, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Radiology study of 615 adults finds higher ultra-processed food consumption linked to more intramuscular fat regardless of calories or activity level Kampgrounds of America reports 77% of campers say nature supports wellbeing, with half booking trips specifically to improve mental health Novo Nordisk partners with OpenAI to apply AI across drug discovery and manufacturing, as Amazon launches Bio Discovery system designing drug candidates More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co

Hosted by Dr. Sid Dogra, this episode of the Radiology Podcast explores new research showing that where fat is distributed in the body—particularly visceral and organ-specific fat—may matter more for brain health than overall BMI. Drawing on a large UK Biobank MRI study, Dr. Dogra discusses how specific fat distribution patterns, including pancreatic-predominant and "skinny fat" phenotypes, are associated with accelerated brain aging, cognitive decline, and increased neurologic disease risk.   Association of Body Fat Distribution Patterns at MRI with BrainStructure, Cognition, and Neurologic Diseases. Yu and Yao et al. Radiology 2026; 318(1):e252610.

Review of mammography updates from the new BI-RADS Version 2025. Download the free study guide on this and other episodes at www.theradiologyreview.com. Board Vitals 10% discount code: Use discount code RADREVIEW at checkout or click on this link. Mentioned in this episode:Board VitalsRadiology residents—get ready for the ABR CORE Exam with BoardVitals! Access over 1,300 high-yield questions, detailed explanations, and adaptive learning. Study anytime with the mobile app, customize by subject, and track progress. Plus, a 100% pass guarantee! Start your free trial at BoardVitals.com and use code RADREVIEW for 10% off Radiology question banks.

Hosted by Dr. Ashwin Singh Parihar, this episode features Dr. Mickael Tordjman and Dr. Bachir Taouli discussing their landmark Radiology study on AI‑generated deepfake medical images that are realistic enough to fool trained radiologists. Together, they examine what this new level of image realism means for diagnostic accuracy, clinical trust, and the future of safeguards in medical imaging.   The Rise of Deepfake Medical Imaging: Radiologists' Diagnostic Accuracy in Detecting ChatGPT-generated Radiographs. Tordjman and Yuce et al. Radiology 2026; 318(3):e252094.   The Democratization of Deceit: Seeing Is No Longer Believing. Bhayana and Krishna. Radiology 2026; 318(3):e260466. 

Driving Radiology Growth Through Smarter Prior Authorization Independent radiology centers face growing competition from hospital systems, where speed to schedule and authorization turnaround directly impact patient access and referral retention. In this Office Hours session, Heidi Simpson, Operations Manager at Advanced Diagnostic Radiology, shares how leveraging prior authorization services as a strategic advantage has helped her organization compete, grow, and modernize operations—while maintaining a patient-first approach. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen