AJR Podcasts

Curious how radiologists can drive artificial intelligence (AI) change at scale? Ainsley MacLean, MD, speaks with host Siddhant Dogra, MD, about moving from neuroradiology to AI leadership, launching advisory and private equity ventures, deploying AI responsibly, evaluating real-world return on investment, and networking for physicians pursuing innovation, consulting, or investing.

Full article: Enhancing Capsule on Dynamic Liver CT: Association With Hepatocellular Carcinoma Diagnosis Using LI-RADS Version 2018
Should an enhancing capsule be handled differently from other LI-RADS major features? Jordan Kondo, MD, discusses this AJR article by Choi et al. that explores the impact on CT-based HCC diagnosis of proposed modified LR-5 criteria that give an enhancing capsule the same priority as other major features.

Full article: Large Language Model-Generated Expansion of the RadLex Ontology: Application to Multinational Datasets of Chest CT Reports
Could a large language model (LLM) be used as a scalable solution for expanding radiology ontologies? Tobi Folami, MD, discusses the AJR article by Lee et al. exploring a LLM for large-scale expansion of the RadLex ontology.

Full article: Associations of Ultrasound-Derived Fat Fraction and MRI PDFF Measurements:  A Prospective Study in Pediatric Patients with Suspected MASLD
Do UDFF measurements have a role in children with MASLD? Selima Siala, MD, discusses the AJR article by Kim et al. that explores associations of UDFF measurements obtained under different breathing conditions with PDFF measurements in children with suspected MASLD.

Imaging biomarkers over invasive biopsies! Minal Jagtiani MD, and Suraj Serai, PhD, speak with host, Raisa Amiruddin, MBBS, on safe repeatable tracking of pediatric liver iron, fat, and fibrosis with quantitative MRI. Learn the physics that makes the liver look bright and techniques to keep the measurements precise.