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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.
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
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?
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.
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








