Behind every polished CV is a story of detours, doubts, and the quiet pivots that change everything. Winnie Hahn, MD and Elizabeth Hecht, MD offer a sneak peek into their new AJR Podcast Series that steps away from the highlight reel to ask the questions medical professionals rarely say out loud. Whether you are dictating your first case, rethinking your career path, or reflecting on decades in the reading room, tune in for the practical wisdom and honest conversations that never make it into the lecture halls.

Full article: Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence

Considerable research has shown the importance of interstitial lung abnormalities (ILAs) on chest CT; the potential role of radiography for such findings remains uncertain. Radhika Rajeev, MD, discusses the AJR article by Hwang et al. evaluating the performance of radiologists and an artificial intelligence system for detecting ILAs on chest radiographs.

How does one innovate while still finding their footing as an attending? Shawn Lyo, MD, speaks with host Siddhant Dogra, MD, about building artificial intelligence-driven workflow tools, collaborating with industry, engaging in policy advocacy, and balancing early-career clinical growth with diverse nonclinical pursuits.

Children need to feel seen, safe, and supported! Laura Gould BS CCLS joins host, Raisa Amiruddin MBBS, to discuss the value of soft language, gentle validation, and the impact of giving children a voice in their own care. Discover how simple human connection can transform imaging suites into warm, safe spaces for kids.

Have you heard about the Interventional Initiative? Isabel Newton, MD, PhD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss filmmaking lessons from her experience creating the award-winning docuseries "Without a Scalpel", global partnerships while filming in Tanzania, and fostering patient access for minimally invasive care options.

Full article: Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization

Pancreatic cyst research is challenged by the need for large-scale extraction of cyst features from radiology reports. Antonin Andrea Blandino, MD, discusses the article by Rasromani et al. exploring the use of large language models for this purpose.

How do we teach effectively without sacrificing efficiency or burning out? Scott A Simpson, DO MSEd, speaks with host Surbhi Raichandani, MD, about radiology readout frameworks, formative feedback, workflow-conscious teaching, and preparing trainees for independent practice in modern radiology.

Full article: Human-in-the-Loop Large Language Model–Augmented Diagnostic Reasoning in Thoracic Imaging: Impact of Radiologic Expertise

Use of LLMs in the diagnostic reasoning process can either improve or hinder performance. Pranjal Rai, MD, discusses the AJR article by Song et al. exploring the association of reader expertise and reader performance when using LLMs as a diagnostic aid.

What does it take to shape radiology beyond the reading room? Richard Duszak, MD, speaks with host Siddhant Dogra, MD, about his journey from private practice to national leadership, founding a health policy institute, advancing academic radiology, and championing leadership development across the specialty.