AJR Podcasts

AJR
  • 4.5 (47)
  • Education
  • Updated Semiweekly

In this series, authors of select AJR articles discuss how their studies were performed, the results, and how the studies changed their practices.

  1. 10h ago

    Making AI-Generated Radiology Reports Safer for Patients: A Comprehensive Quality Assessment Tool

    How can radiology practices evaluate AI-generated patient friendly reports in a standardized manner? Antonino Andrea Blandino, MD, discusses the article by Armstrong et al. describing a quality assessment rubric for grading such reports. Full article: A Quality Assessment Rubric for Artificial Intelligence–Generated Patient-Friendly Radiology Reports

    Making AI-Generated Radiology Reports Safer for Patients: A Comprehensive Quality Assessment Tool

  2. 10h ago

    Same Scan, Different Footprint: Does the Power Grid Matter More Than How Much We Image?

    Imaging utilization may not be the main driver of imaging's carbon footprint. Joel Samuel, MD, discusses the article by Paul et al. on the role of grid carbon intensity in shaping variations in imaging-related greenhouse gas emissions. Full article: Same Scan, Different Footprint: Does the Power Grid Matter More Than How Much We Image?

    Same Scan, Different Footprint: Does the Power Grid Matter More Than How Much We Image?

  3. 5d ago

    Can Artificial Intelligence Help Us See the Person Behind the Pattern? Intimate Partner Violence Through the Lens of Radiology

    What do you do when images tell a different story? Bharti Khurana, MD, MBA, speaks with cohosts Lindsey Negrete, MD, and Amy Maduram, MD, about her journey from the reading room to the forefront of artificial intelligence innovation, transforming the way we identify and support survivors of intimate partner violence. Listen to their discussion in episode 4 of Extreme Radiology, an AJR Podcast Series.  *Key Takeaways The Longitudinal Biomarker: There is no single characteristic injury that defines intimate partner violence (IPV). Instead, the true warning sign is a longitudinal pattern of trauma over time, including target injuries to the head and face, defensive injuries to the upper extremities, and neck injuries from strangulation.   Protecting the Patient Portal: Radiologists should not write "suspicious for IPV" in a formal imaging report because the partner may be monitoring the patient's electronic records. Radiologists should objectively describe the injuries in the text and directly call the referring clinician to raise abuse suspicions.   The "Pickle Jar" of Disclosure: If a case is flagged and the patient denies the abuse, the radiologist should not feel that they have failed. Reporting IPV is like opening a tight pickle jar; each safe conversation loosens the lid until the patient is finally ready and empowered to disclose their situation.  Humanizing Medicine with AI: The AIRS tool uses computational analysis to flag high probability IPV risk, which allows clinicians to better dedicate appointment times toward empathetic, trauma-informed conversations. Bias as a Strength: Critics initially warned that radiologists could not diagnose IPV because they may not see the patient's socioeconomic background in the reading room. However, this is also a source of strength, allowing radiologists to report objective findings without certain potential implicit biases. *Chapters 0:00 - Welcome and Content Warning 2:46 - Why Study IPV in Radiology 6:17 - Imaging Clues and Patterns 8:03 - Longitudinal Data and Integration 9:19 - Gender Differences and Misconceptions 14:33 - Reporting Safely in the EMR Era 19:00 - The Longitudinal Biomarker Eureka Moment 22:56 - AI That Prompts Human Care 25:21 - AIRS Workflow and Future Tools 30:25 - Collaboration and Leaving the Silo 34:47 - Handling Criticism and Staying Motivated 38:12 - What Trainees Should Know 41:52 - Closing Takeaways Follow AJR on Social Media LinkedIn: https://www.linkedin.com/showcase/ajr-radiology/ YouTube: https://www.youtube.com/channel/UCfFAYezkLMxJGMgIJLN0Dpg Instagram: https://www.instagram.com/ajr_radiology/ TikTok: https://www.tiktok.com/@ajr_radiology X: https://x.com/AJR_Radiology BlueSky: https://bsky.app/profile/ajrradiology.bsky.social Threads: https://www.threads.com/@ajr_radiology *These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.

    Can Artificial Intelligence Help Us See the Person Behind the Pattern? Intimate Partner Violence Through the Lens of Radiology

  4. Sep 28

    It's Not You, It's the Workflow

    What are drivers of stress and satisfaction in the radiology workplace? Pranjal Rai, MD, discusses this article by Ayyala et al. that explores this issue among radiologists, technologists, nurses, and other staff. Full article: Sources of Work-Related Stress and Satisfaction in Radiology: A Survey of Faculty, Technologists, Nurses, and Other Staff

    It's Not You, It's the Workflow

  5. Sep 28

    Low-keV Virtual Monoenergetic Imaging in Bladder Cancer: Does Photon-Counting CT Make a Difference?

    The combination of photon-counting CT and low-keV VMI has the potential to aid bladder cancer local stage Anna Lo Verde, MD, discusses the prospective study by Wang et al. exploring this combination for detecting muscle invasion. Full article: Photon-Counting CT With Low-keV Virtual Monoenergetic Images for Detecting Muscle Invasion in Bladder Cancer: A Prospective Study

    Low-keV Virtual Monoenergetic Imaging in Bladder Cancer: Does Photon-Counting CT Make a Difference?

  6. Sep 23

    Negotiating the Career You Want

    Negotiation is an important skill that physicians are rarely taught. Anees Chagpar, MD, MA, MBA, MPH, and Naman Desai, MD, speak with cohosts Winnie Hahn, MD, and Elizabeth Hecht, MD, about how preparation, practice, and a shift in mindset can help physicians negotiate with confidence and build careers that align with their values and priorities. Listen to their discussion in episode 3 of Mentorship Unfiltered, an AJR Podcast Series. https://www.ajronline.org/doi/10.2214/AJR.26.35921 *Key Takeaways The Collaborative Mindset: Negotiation is not a zero-sum, adversarial battle. Approaching the conversation as joint problem-solvers allows both the employer and employee to find creative ways to "grow the pie" and achieve mutual benefits. Expanding the Target: Candidates often make the mistake of focusing exclusively on base salary. Successful negotiators research historical precedents (like AAMC data) and ask for flexible perks, such as housing stipends, free childcare, CME funding, and specific call schedules. The Malpractice Trap: Understanding the difference between claims-based and occurrence-based malpractice insurance is critical. If a practice uses claims-based insurance, exiting the job requires tail coverage that can cost between $10,000 and $30,000; this should be negotiated upfront. Continuous Self-Advocacy: Negotiation does not end once the initial contract is signed. Mid-career physicians should continually reassess their value and leverage employer investments. *Chapters 0:00 - Why Negotiation Matters 4:00 - Negotiation Misconceptions 5:34 - Prepping Before First Offer 8:06 - Expand Beyond Salary 14:30 - Negotiation Phrases That Work Well? 16:16 - Avoiding Ultimatums 20:01 - Finding Market Pay Information 21:59 - Priorities and Job Stability 24:42 - W2 vs 1099 26:07 - Malpractice and Tail Coverage 28:55 - Money Priorities Checklist 31:27 - RVU Volume Reality Check 36:48 - Red Flags Researching Groups 38:25 - Switching Jobs and Credentialing 39:58 - Mid-Career Negotiation Never Ends 45:00 - Women and Negotiation Bias 52:32 - Institution Responsibilities 56:52 - Key Takeaways and Wrap Up Follow AJR on Social Media LinkedIn: https://www.linkedin.com/showcase/ajr-radiology/ YouTube: https://www.youtube.com/channel/UCfFAYezkLMxJGMgIJLN0Dpg Instagram: https://www.instagram.com/ajr_radiology/ TikTok: https://www.tiktok.com/@ajr_radiology X: https://x.com/AJR_Radiology BlueSky: https://bsky.app/profile/ajrradiology.bsky.social *These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.

    Negotiating the Career You Want

  7. Sep 16

    How to Avoid Pitfalls in Study Design

    A strong research question can still fail if the study design cannot answer it. Michael Soulen, MD, and Shudaveep Ganguly, MD, DM, speak with host Amit Gupta, MD, about selecting meaningful outcomes, matching design to the question, avoiding pitfalls of diagnostic accuracy studies, involving statisticians early, and building multidisciplinary trials. Listen to their discussion in episode 3 of The Early Career Researcher's Playbook, an AJR Podcast Series. *Key Takeaways Meaningful Outcomes vs. Surrogates: Technical success and progression-free survival are only surrogate endpoints. Patients and clinicians ultimately care about overall survival and quality of life. Imaging surrogates are notoriously poor predictors of true clinical benefit. Flaws in Diagnostic Accuracy: Relying purely on sensitivity and specificity is problematic if the study population doesn't reflect real-world conditions. Likelihood ratios may provide a realistic indication of a test's clinical impact. Early Statistical Integration: Never treat a statistician as a data calculator at the end of a study. Engaging them during the brainstorming phase ensures feasibility and helps to properly structures your protocol and database. *Chapters  0:00 - Welcome 2:23 - Choosing Meaningful Outcomes 9:28 - RCTs and Real World Limits 18:36 - Diagnostic Study Pitfalls 25:58 - From Accuracy to Impact 28:55 - Statistics Starts Early 37:45 - Making Collaboration Work 47:01 - Quick Fire Playbook 51:04 - Final Advice Follow AJR on Social Media LinkedIn: https://www.linkedin.com/showcase/ajr-radiology/ YouTube: https://www.youtube.com/channel/UCfFAYezkLMxJGMgIJLN0Dpg Instagram: https://www.instagram.com/ajr_radiology/ TikTok: https://www.tiktok.com/@ajr_radiology X: https://x.com/AJR_Radiology BlueSky: https://bsky.app/profile/ajrradiology.bsky.social Threads: https://www.threads.com/@ajr_radiology *These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.

    How to Avoid Pitfalls in Study Design

  8. Sep 14

    Beyond the Mammogram: Can AI Predict Breast Cancer Risk?

    How can AI help predict breast cancer risk? Heta Ladumor, MD, discusses the AJR article by Xu et al. that developed a novel deep-learning tool for predicting risk from DBT examinations. Full article: Predicting 5-Year Breast Cancer Risk From Longitudinal Digital Breast Tomosynthesis: A Single-Center Retrospective Study Follow AJR on Social Media LinkedIn: https://www.linkedin.com/showcase/ajr-radiology/ YouTube: https://www.youtube.com/channel/UCfFAYezkLMxJGMgIJLN0Dpg Instagram: https://www.instagram.com/ajr_radiology/ TikTok: https://www.tiktok.com/@ajr_radiology X: https://x.com/AJR_Radiology BlueSky: https://bsky.app/profile/ajrradiology.bsky.social

    Beyond the Mammogram: Can AI Predict Breast Cancer Risk?
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About

In this series, authors of select AJR articles discuss how their studies were performed, the results, and how the studies changed their practices.

Information

  • Creator
    AJR
  • Years Active
    2018 - 2026
  • Episodes
    435
  • Rating
    Clean
  • Copyright
    © American Roentgen Ray Society
  • Show Website
    AJR Podcasts

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