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

Dr. Ashwin Singh Parihar sits down with to discuss how post-therapy Lutetium 177 PSMA SPECT CT may help predict overall survival in patients with metastatic castration resistant prostate cancer and shape future treatment decisions. Drawing from the ENZAPI trial, they explore quan ...  Show more

Dr. Siddhant Dogra sits down with Dr. Su Hwan Kim to discuss how reader experience influences the performance and real world utility of large language models for brain MRI differential diagnosis. Together they explore AI assisted decision making, automation bias, radiology traini ...  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 ...