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

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

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

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 ...