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Rating
4.5from
This podcast has
438 episodes
Language
EnglishPublisher
AJRExplicit
No
Date created
2018/12/05
Latest episode
2026/10/21
Average duration
27 min.
Release period
4 days
Description
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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How to Navigate Data and Research Ethics
2026/10/21
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.
When FFRCT Gets Rejected: How Scanner Technology and Image Quality Matter
2026/10/19
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
2026/10/07
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
2026/10/05
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?
2026/10/05
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
2026/09/30
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
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.
It's Not You, It's the Workflow
2026/09/28
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?
2026/09/28
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
2026/09/23
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
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.
How to Avoid Pitfalls in Study Design
2026/09/16
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
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.
Beyond the Mammogram: Can AI Predict Breast Cancer Risk?
2026/09/14
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
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Rising Neuroimaging Utilization in the ED
2026/09/14
Neuroimaging utilization in the emergency department (ED) is growing. Christopher Ruggiero, MD, discusses this article by Rai et al. that explores this growth in over 3 million ED encounters nationally.
Full article: Utilization of Emergency Department (ED) Neuroimaging From 2016 to 2025: Analysis in Over 3 Million ED Encounters from the Multicenter Cosmos EHR Dataset
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Vision Language Models for Ultrasound Assessment of Suspicious Axillary Lymph Nodes in Breast Cancer
2026/09/14
Vision language models (VLMs) are receiving growing attention in radiology. Kathy Dai, MD, is joined by Dorothy Sippo, MD, MPH, to discuss the article by He et al. exploring the use of VLMs for axillary lymph node assessment in patients with breast cancer.
Full article: Vision Language Models for Ultrasound Assessment of Suspicious Axillary Lymph Nodes in Breast Cancer
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Is Your Daily Workflow Inviting a Cyberattack?
2026/09/09
What happens when the system goes down in a cyberattack? Ichiro Ikuta, MD, MMSc, speaks with cohosts Lindsey Negrete, MD, and Amy Maduram, MD about real-world vulnerabilities and consequences of cyberattacks in radiology. Listen to their discussion in episode 3 of Extreme Radiology, an AJR Podcast Series.
https://www.ajronline.org/doi/10.2214/AJR.26.35847
*Key Takeaways
The Power Dynamics of Phishing: Hackers may impersonate department chairs or hospital CEOs using spoofed emails to pressure staff into handing over login credentials. Always verify suspicious requests via a direct phone call or in-person conversation.
The Threat of Outside CDs: Discs containing outside imaging studies are major vectors for malware. To help prevent spreading a digital infection, outside CDs should be uploaded in isolated, dedicated environments rather than directly on standard clinical workstations.
AI and Blockchain in Cybersecurity: While blockchain technology offers decentralized tracking to protect financial and patient data, artificial intelligence is a double-edged sword, equipping both cybersecurity defenders and malicious hackers with significantly more powerful tools.
*Chapters
0:00 - Opening
2:07 - Why Cybersecurity Matters
4:15 - How Hospitals Get Hacked
8:31 - Spotting Phishing Tricks
11:24 - When Systems Go Down
14:40 - Legal Duties and Training
16:25 - Recovery and Backlog Reality
20:01 - AI and Blockchain Threats
22:39 - Can You Hack It? Game
27:32 - Radiology Targets and Defenses
30:05 - Wrapping Things Up
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.
Crossing Borders, Closing Gaps: The International Medical Graduate Path in Radiology
2026/09/02
The radiologist shortage is real, and international medical graduates (IMGs) are already helping solve it. Sohrab Afshari Mirak, MD, speaks with cohosts Surbhi Raichandani, MD, and Sherry Wang, MBBS, about his path from Tehran to UCLA, the American Board of Radiology Alternate Pathway, visa hurdles, and what IMGs bring to patient care. Listen to their discussion in episode 3 of Difficult Conversations, an AJR Podcast Series.
*Key Takeaways
Beyond the Step Score: Residency programs should not filter IMG applicants based on USMLE scores or graduation gaps; letters of recommendation and other application components offer additional important information.
The ABR Alternate Pathway: Recent changes by the American Board of Radiology now allow internationally trained radiologists to complete their four required fellowship years non-consecutively within an eight-year window, significantly reducing a source of uncertainty.
Clinical Diversity: IMGs bring unique proficiencies and skill sets developed in healthcare systems with workflows that differ from in the United States.
*Chapters
0:00 - Welcome and Intro
0:54 - Impact of Radiologist Shortage
3:43 - Dr. Mirak's IMG Journey
6:07 - Residency Screening Pitfalls
10:02 - Letters and Observerships
12:14 - Research and Networking Tips
15:21 - ABR Alternate Pathway
18:52 - Visa Choices and Waivers
25:44 - Cultural Support for IMGs
28:38 - Global Models and IMG Value
35:56 - One Policy Change
38:05 - Closing Thoughts
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Podcast reviews
Read AJR Podcasts podcast reviews
Karen Degenerate 2026/05/09
You guys know this, right?
This podcast ain’t about the BAND AJR it’s about medical stuff.
denkiismyloveleviismyhusband 2023/08/15
I love AJR
AJR honestly kinda saved my life. The very song I ever heard was ‘Weak’ and I feel in love instantly. They’re songs have so much meaning to me and I r...
Projector 1 2023/07/23
I like AJR
When I first heard about AJR having a Podcast I do not believe it then I saw it and I love it. I’ve listen to every single one of their songs for abso...
harpermarch21 2021/03/24
I LOVE THESE GUYS!!!
I LOVE AJR I ALMOST HAVE EVERY SINGLE SONG
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