439 episódios
- 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
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy. - 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 - 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
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*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
05/10/2026 | 8minHow 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 ReportsSame Scan, Different Footprint: Does the Power Grid Matter More Than How Much We Image?
05/10/2026 | 7minImaging 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?
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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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