Superhuman Performance of a LLM on the R...

In part two of this two-part series, recorded at this year's AAN Annual Meeting, Dr. Gregg Day talks with Drs. Joel Salinas and Sarah Song about imperfect but practical brain health metrics, patient-centered assessment strategies, and future directions in brain health assessment. ... Show More

In part one of this two-part series, recorded at this year's AAN Annual Meeting, Dr. Gregg Day talks with Drs. Joel Salinas and Sarah Song about the evolving landscape of brain health, practical approaches to incorporating brain health assessments into routine care, and the impor ... Show More

Dr. Justin Abbatemarco talks with Drs. Sara Marceglia and Alberto Priori about the use of artificial intelligence in neurology training, highlighting the need for formal curricula, ethical considerations, and practical applications in clinical practice. Read the related article i ... Show More

In the final part of this two-part series, Dr. Andy Southerland and Dr. Lidia Moura discuss strategies on how clinicians can mitigate bias when using large language models. Show reference: https://www.neurology.org/doi/10.1212/WNL.0000000000209497  

<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

Drs. John Kitchens and Andy Schimel join host Dr. Jay Sridhar to discuss current and emerging applications for artificial intelligence (AI) relevant to both patients and physicians. The sweeping conversation covers resources for low-vision patients, as well as how large language ... Show More

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 powerf ... Show More

<p>In this episode of the AI Grand Rounds podcast, <a href='https://cmecatalog.hms.harvard.edu/faculty-staff/adam-rodman'>Dr. Adam Rodman</a> shares his unique journey from a historian to a physician deeply interested in the intersection of medicine and artificial intelligence. H ... Show More

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." 

Dr. Sanjay Patel of Weill Cornell and Dr. Greg Goldgof of Memorial Sloan Kettering dive into the transformative role of AI in modern pathology. They discuss how large language models are enhancing diagnostic workflows, expediting report synthesis, and shaping the future of patien ... Show More

<p>Dr. Linda Chu teams up with Radiology:AI hosts Drs. Paul Yi and Ali Tejani to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen. </p> <p>For more ChatGPT content check out this articles-</p> <p style="margin-bottom: 12.0pt;"> ... Show More

<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

<p>Dr. Linda Chu discusses how the future of imaging informatics with Dr. Paul Chang</p> <p><a href="https://doi.org/10.1148/radiol.230936">Imaging Informatics: Maturing Beyond Adolescence to Enable the Return of the Doctor's Doctor. Chang. Radiology 2023; 309(1):e230936.  </a></ ... Show More