logo
episode-header-image
Oct 2025
21m 17s

From Notes to Data: NLP and Transformers...

THE RADIOLOGICAL SOCIETY OF NORTH AMERICA
About this episode

Dr. Linda Chiu unpacks how natural language processing and large language models are transforming radiology, with insights from a review by Dr. Felipe Kitamura and colleagues. From tokenization to transformers, she explores both the promise and challenges of applying these powerful AI tools to clinical practice.

Texts Are More than Notes, They Are Data: A Glimpse intoHow Machines Understand Text. Kitamura et al. Radiology 2025; 316(2):e243217.

Up next
Aug 18
Quantifying Energy Consumption in MRI, CT, and PET/CT
Dr. Lauren Kim speaks with first author Dr. Andrew Hernandez about his study which comprehensively quantified energy consumption in MRI, CT, and PET/CT imaging suites by measuring the energy utilization of main power, HVAC, and chilled water subsystems. The study showed that HVAC ... Show More
28m 31s
Aug 11
AI and Breast Cancer Prediction
Host Dr. Reni Butler sits down with Dr. Connie Lehman to discuss groundbreaking research on how AI-generated breast cancer risk scores change over time and what those changes may reveal about a woman's future cancer risk. Together, they explore the promise of longitudinal imaging ... Show More
21m 48s
Aug 4
Air Pollution Heart Risk
Dr. Refky Nicola welcomes back Dr. Kate Hanneman to discuss new research examining the link between long-term air pollution exposure and coronary atherosclerosis detected on cardiac CT. Together, they explore key findings on plaque burden, sex-specific differences, cumulative exp ... Show More
19m 29s
Recommended Episodes
Feb 2025
From Clinical Notes to GPT-4: Dr. Emily Alsentzer on Natural Language Processing in Medicine
<p><a href='https://profiles.stanford.edu/emily-alsentzer'>Dr. Emily Alsentzer</a> joins hosts Raj Manrai and Andy Beam on NEJM AI Grand Rounds to discuss the evolution of natural language processing (NLP) in medicine. A Stanford faculty member and expert in clinical AI, Emily sh ... Show More
55m 6s
Jan 2025
Superhuman Performance of a LLM on the Reasoning Tasks of a Physician
Dr. Andy Southerland talks with Dr. Adam Rodman about the implications of large language models in clinical reasoning and diagnostics. Read the related article on arXiv.  Disclosures can be found at Neurology.org. 
18m 13s
May 2023
Google’s Exploration of Large Language Models in Medicine
<p>Large language models (LLMs) like ChatGPT have proven highly capable of a broad array of natural language tasks including summarizing text, generating prose, and answering questions. This episode’s two guests, Dr. <a href='https://research.google/people/107444/'>Alan Karthikes ... Show More
1h 6m
Mar 2024
AI and Clinical Practice—How AI Could Advance Human Heart Discoveries and Improve Care
<p>Can AI enhance the speed and efficiency of interpreting ultrasounds and echocardiograms, thereby minimizing diagnostic errors? In this Q&A, Rima Arnaout, MD, a cardiologist and associate professor of medicine at the University of California-San Francisco, joins JAMA's Editor i ... Show More
17m 10s
May 2024
AI in Radiology: Enhancing Analysis, Education, and Access
<p>Can AI augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could ... Show More
23m 13s
Jul 2024
Large Language Models for Quality and Efficiency of Neurologic Care
Dr. Andy Southerland talks with Dr. Lidia Moura about the implications of large language models (LLMs) for neurologic care. Read the related article in Neurology. Disclosures can be found at Neurology.org. 
22m 50s
Nov 2023
Artificial Intelligence in Medical Education
Dr. Nitin Seam chats with Dr. Sara Murray and Dr. Avraham Cooper about their articles, "Large Language Models and Medical Education: Preparing for a Rapid Transformation in How Trainees Will Learn to Be Doctor" and "AI and Medical Education — A 21st-Century Pandora’s Box." 
40m 8s
Nov 2023
Examining Open-Source Frameworks and AI in Medicine with Interventional Radiologist Dr. Judy Gichoya
<p>In this episode, <a href='https://winshipcancer.emory.edu/bios/faculty/gichoya-judy.html'>Dr. Judy Wawira Gichoya</a>, Associate Professor in the Department of Radiology and Imaging Sciences at Emory University School of Medicine, details her journey from Kenya to the United S ... Show More
57m 46s
Feb 2023
Dr. Lily Peng: AI for Ophthalmology and the Challenges of AI in the Real World
<p><a href='https://research.google/people/LilyPeng/'>Dr. Lily Peng</a> has driven major medical AI efforts along the long and arduous path from ideation to deployment. From publishing a landmark study in 2016 presenting an AI model to detect diabetic retinopathy in retinal fundu ... Show More
1h 7m
Jun 2025
65. Cut and polish your radiology reports
Michael Hartung puts Miranda Siemienowicz and Jeffrey Kanne through a series of reporting thought exercises aimed at improving clarity and actionability. Meanwhile, Andrew has a new favourite thing to share and Frank demands a robot! Thought Exercises ► https://drive.google.com/f ... Show More
1h 10m
Listen to millions of songs and podcasts on Anghami