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    Education

    AJR Podcasts

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

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    Copyright: © 2019 American Roentgen Ray Society

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    • Spotify

    Latest Episodes:
    Navigating the Academic Enterprise as a Community Radiologist Oct 28, 2026
    Show notes

    When community practice meets the academic enterprise, opportunities and tensions can emerge in unexpected ways. Alan Woronoff, MD, speaks with cohosts Winnie Hahn, MD, and Elizabeth Hecht, MD, about his transition from private practice to an academically affiliated health system, exploring inclusion, influence, community versus academic priorities, subspecialization, productivity, professional growth, and lessons for radiologists and leaders. Listen to their discussion in episode 4 of Mentorship Unfiltered, an AJR Podcast Series.


    How to Navigate Data and Research Ethics Oct 21, 2026
    Show notes

    Clinical data drive meaningful research, but access comes with responsibility. Andrea Doria, MD PhD, speaks with host Amit Gupta, MD, about navigating research ethics, informed consent, deidentification, dataset bias, responsible data sharing, and patient trust. Listen to their discussion in episode 4 of The Early-Career Researcher's Playbook, an AJR Podcast Series.

    *Key Takeaways

    Ethics as Good Science: Ethical guidelines are not administrative obstacles. They are an integral part of responsible data stewardship and maintaining the trust patients place in the healthcare system.

    The Consent Misconception: Retrospective studies do not automatically bypass patient consent. Only the ethics board can grant a waiver of consent, for example for scenarios with large unreachable patient populations.

    Anonymization vs. De-identification: Removing a name is merely anonymization. True de-identification requires scrubbing private DICOM metadata, redacting burned-in pixels on ultrasounds, and accounting for 3D reconstructions that might reveal unique physical patient characteristics.

    External Data Sharing: Before uploading clinical data to external cloud platforms or AI tools, institutions should establish strict Data Transfer Agreements detailing storage protocols, access rights, and data deletion timelines.

    Scope Creep and Amendments: Reusing an existing dataset to answer a new research question unapproved by the IRB is an ethical violation. Researchers must submit an amendment or a new application to the ethics board before shifting the scope of their study.

    *Chapters

    0:00 - Welcome

    02:21 - When Ethics Approval Starts

    04:40 - Consent and Waivers

    09:26 - Deidentifying Imaging Data

    12:48 - Sharing Data Externally

    15:31 - Bias and Representation

    18:41 - Stewardship Beyond Rules

    21:30 - Reusing Data and Amendments

    26:34 - Quick Fire Playbook

    33:23 - Final 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.


    When FFRCT Gets Rejected: How Scanner Technology and Image Quality Matter Oct 19, 2026
    Show notes

    Unsuccessful FFRCT analysis can be influenced by the underlying CT technology used. Radhika Rajeev, MD, discusses the article by Balasubramanian et al. exploring causes of such rejected analyses for two CT scanners.

    Full article: FFRCT Analysis Rejections: Comparison of Frequency and Associated Factors Between Two CT Scanners


    Wrong Turns: What to Do When You Realize You Chose the Wrong Path Oct 07, 2026
    Show notes

    Every radiologist can name the career decisions that worked out. Almost nobody talks about the ones that did not. Peter S. Moskowitz, MD, a pediatric radiologist turned physician career coach, speaks with hosts Surbhi Raichandani, MD, and Sherry Wang, MBBS, about burnout, sunk costs, and what comes after a wrong turn. Listen to their discussion in episode 4 of Difficult Conversations, an AJR Podcast Series.

    https://www.ajronline.org/doi/10.2214/AJR.26.36011

    *Key Takeaways

    The Second Career: A physician's primary job is clinical excellence, but a secondary job is active career self-management, which requires finding trusted mentors and being vulnerable enough to ask for help.

    The 4 D's of Transition: Recognizing the need for a career pivot may begin with identifying William Bridges' four D's of transition endings: disengagement, disidentification, disenchantment, and disorientation.

    Proactive "Protirement": True retirement planning or "protirement" should begin the first day of your first paying job, involving professional financial planners and your significant other to align your long-term vision.

    *Chapters

    0:00 - Welcome

    3:51 - Tenure Setback and Toxic Practice

    5:23 - Burnout to Coaching

    6:58 - Return to Academia

    8:44 - Lessons From Career Transitions

    12:29 - Career Resilience

    14:14 - The Moment Burnout Hit

    16:40 - Golden Handcuffs and Wrong Paths

    19:42 - Why Burnout Happens

    22:06 - Greed and Leadership Voice

    26:37 - Advice for Early Attendings

    31:32 - How CPPR Coaching Works

    34:17 - Protirement Plan Early

    39:52 - Radiologist-Centered Imaging

    43:08 - Wellness Progress and What Next

    49:29 - AI Efficiency Burnout Myth

    55:52 - One Sentence Advice and Takeaways

    59:00 - Closing

    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.


    Making AI-Generated Radiology Reports Safer for Patients: A Comprehensive Quality Assessment Tool Oct 05, 2026
    Show notes

    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


    Same Scan, Different Footprint: Does the Power Grid Matter More Than How Much We Image? Oct 05, 2026
    Show notes

    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?


    Can Artificial Intelligence Help Us See the Person Behind the Pattern? Intimate Partner Violence Through the Lens of Radiology Sep 30, 2026
    Show notes

    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.

    https://www.ajronline.org/doi/10.2214/AJR.26.35966

    *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.


    It's Not You, It's the Workflow Sep 28, 2026
    Show notes

    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


    Low-keV Virtual Monoenergetic Imaging in Bladder Cancer: Does Photon-Counting CT Make a Difference? Sep 28, 2026
    Show notes

    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


    Negotiating the Career You Want Sep 23, 2026
    Show notes

    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.


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