AJR Podcasts

Completing a fellowship was once not a question in radiology, but today's market has changed the hiring landscape. Bruce Distell, MD, a radiology department chair, speaks with cohosts Elizabeth Hecht, MD, and Winnie Hahn, MD, about why we do fellowships and if we need them today given market demands and looming future of artificial intelligence. Listen to their discussion in episode 2 of Mentorship Unfiltered, an AJR Podcast Series.

https://www.ajronline.org/doi/10.2214/AJR.26.35664

*Key Takeaways

The Value of Fellowship: An extra year of training provides protected time to develop deep clinical expertise and signals a commitment to continuous education, which remains highly attractive to large practices.

AI and the Future of Radiology: Despite trainee fears of artificial intelligence eliminating jobs, human oversight will remain essential. Highly specialized expertise secures the radiologist's role as the indispensable pilot of patient care.

Lifelong Learning vs. Formal Training: Dedicated fellowship training demonstrates a commitment to clinical expertise, empowering radiologists to lead rather than be replaced in an AI-driven field. However, straight-to-practice routes can also succeed through dedicated, lifelong education.

*Chapters

0:00 - Introduction

0:52 - The Existential Choice

1:52 - Pros and cons breakdown

3:20 - Hosts share their paths

4:49 - Meet Bruce Distell

11:04 - Endorsing Fellowships

12:29 - Inside a Modern Practice

16:28 - Training Beyond Fellowship

18:51 - AI and Future Expertise

21:46 - Speed vs Accuracy Debate

25:30 - Hiring What Matters Most

29:51 - Marketability and Mobility

36:38 - Private Equity Pressures

44:00 - Is Fellowship Worth It

47:51 - Advice for Those Considering Fellowship

49:37 - Final Takeaways

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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.

Have you observed an asymmetric feeding artery on prostate MRI? Alan Gao, MD, discusses the study by Zeynep et al. exploring the finding's potential role in detecting clinically significant cancer.

Full article: Prostate Feeding Artery on MRI: Association With Clinically Significant Prostate Cancer

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What is new in BI-RADS v2025? Breast Imaging Senior Editor Wei Yang, MD, speaks with Paola Minichetti, MD, and Lorenzo Cereser, MD, regarding their team's article that provides a review of the new version, highlighting key implications for daily breast imaging practice.

*Key Moments

00:00 - Welcome and Introductions

01:08 - BI-RADS 2025 Evolution

02:56 - Harmonization and Context

06:06 - BI-RADS in the AI Era

08:23 - AI Examples and Data Quality

11:20 - Department Adoption Strategy

14:30 - What's Missing Next

15:20 - Future Risk Stratification

17:17 - Management and Interventions

20:22 - Final Takeaways and Thanks

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*The Key Moments section was generated using artificial intelligence (Google Gemini) and then reviewed for accuracy.

A good research idea is not always a good research question. Bruno Hochhegger, MD, PhD, speaks with host Amit Gupta, MD, about choosing research questions that are clinically relevant, feasible, and worth pursuing in real-world settings. Listen to their discussion in episode 1 of The Early Career Researcher's Playbook, an AJR Podcast Series.

Full article: https://www.ajronline.org/doi/10.2214/AJR.26.35586

*Key Takeaways

• Defining Clinical Relevance: A strong research question must answer a direct patient management issue, such as determining if a nodule is benign or malignant.
• The Feasibility and Sustainability Matrix: Moving from simple case reports to professional science requires navigating EMRs, securing IRB authorizations, and finding reliable grant funding.
• The AI Implementation Trap: While building artificial intelligence models on GitHub has become more accessible, adequately validating these tools for real-world clinical practice remains a massive, frequently underestimated hurdle.
• Multidisciplinary Research Networks: True feasibility requires nonmedical input; successful projects demand early feedback from IT departments, technologists, and referring surgeons to ensure workflows survive reality.

*Key Moments

00:00 Intro and Welcome

01:18 The Importance of Small Steps: Lessons from a Failed MRI Lung Cancer Screening Trial.

04:30 Defining Clinical Relevance and the Crucial Role of the Physician-Researcher.

07:47 Assessing Feasibility: Navigating EMRs, IRB Approvals, and Data Access.

08:45 Research Sustainability: Securing Grants and Transitioning from Voluntary to Professional Science.

10:50 The AI Feasibility Trap: Why Validating Models is Harder Than Coding on GitHub.

16:08 Identifying the Key Indication: Solving Direct Patient Management Questions.

21:51 Beyond Mentorship: Building a Network Across IT, Technologists, and Referring Clinicians.

28:51 Establishing Niche Expertise: Strategic Advice for Radiology Residents and Fellows

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*These portions of the page were generated using artificial intelligence (Google Gemini) and then reviewed for accuracy.

Full article: Attenuation- and Entropy-Based Habitat Imaging for High-Risk Features in Lung Adenocarcinoma Presenting as a Part-Solid Nodule on CT: A Multicenter Study

Can habitat imaging guide lung nodule evaluation? Osvaldo Berlina, MD, discusses this article by Li et al. that uses habitat imaging based on attenuation and entropy values to predict high-risk features in lung cancer presenting as a part-solid nodule.

Building a meaningful research career alongside a busy clinical schedule is no easy task. In this new AJR Podcast Series, Amit Gupta demystifies the process. Join us for monthly episodes featuring leading voices in radiology research, sharing wisdom on everything from selecting strong questions and navigating data ethics to establishing your unique research identity.

Can radiology procedures in human medicine be adapted for animal patients? Chris Thomson, DVM, DACVS-SA, ACVS Fellow-Surgical Oncology, speaks with co-hosts Lindsey Negrete, MD, and Amy Maduram, MD, about the rapidly evolving field of veterinary interventional radiology and contributions to medical research. Listen to their discussion in episode 1 of Extreme Radiology, an AJR Podcast Series.

Curious about the incredible reach of radiology and pioneering practices changing the game? Join co-hosts Lindsey Negrete, MD, from Stanford University, and Amy Maduram, MD, from Northwestern University. Through dynamic conversation, we explore the most unusual, groundbreaking, and radical applications of medical imaging. Listen to their discussion in Extreme Radiology, an AJR Podcast Series.

As radiologists, we work in dark rooms, but some shadows have nothing to do with the monitors. Cohosts Sherry S. Wang, MBBS, and Surbhi Raichandani, MD, illuminate bullying, gossip, and incivility in radiology and the small brave moves that build healthier cultures. Listen to their discussion in episode 1 of Difficult Conversations, an AJR Podcast Series.

Full article: Real-World Single-Reading Screening Mammography Performance When Using an FDA-Approved Artificial Intelligence Tool

Current literature on mammography artificial intelligence (AI) tools have limited generalizability across practice settings. Dora Chen, MD, discusses the article by Ambinder et al. exploring the performance of a screening mammography AI tool when applied in a single-reading U.S. center.