From Notes to Data: NLP and Transformers in R...

Dr. Linda Chu welcomes Dr. Robert McDonald (Mayo Clinic) and Dr. Paul Evans (GE HealthCare) for a discussion on the evolution of MR contrast agents, exploring how gadolinium has changed MRI diagnostics and what decades of clinical experience have taught the radiology community. T ...  Show more

Dr. Reni Butler speaks with Dr. Bryan Haslam, Dr. Greg Sorensen, Dr. Matt McCabe, and Dr. Christoph Lee about their large real-world study evaluating an AI driven workflow for screening mammography across 109 U.S. facilities. Together, they explore how AI helped general radiologi ...  Show more

Dr. Emily Alsentzer 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 ...

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. 

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. Alan Karthikes ...

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 ...