Automated Interpretation of Clinical Ele...

In part two of this series, Dr. Aaron Zelikovich and Dr. Bhaskar Roy discuss recommendations to help neurologists navigate the expanding landscape of myasthenia gravis treatments. Show citation: McLaren NP, Rosati M, Zhong W, et al. Comparison of the Efficacy and Safety of Myasth ... Show More

In the second episode of this series, Dr. Justin Abbatemarco and Dr. Sara Marceglia discuss the risks of incorporating AI into clinical practice. Show citation: Vozzi C, Sibilla M, Sandri D, et al. Education Research: Bridging the Artificial Intelligence Training Gap: Evidence fr ... Show More

In the sixth episode of this series, Dr. Paul Crane and Dr. Prashanth Ramachandran discuss high-dose rifampin in TB meningitis. 

<p>Dr. Halley Alexander talks with Dr. Sándor Beniczky about the use of artificial intelligence to accurately interpret routine clinical electroencephalograms.</p> <p>Read the related article in <a href= "https://jamanetwork.com/journals/jamaneurology/fullarticle/2806244" target= ... Show More

<p>AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in com ... Show More

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. 

Dr. Dean Mitchell discusses how artificial intelligence in medicine can benefit everyone in this episode with Dr. Michael Segal, pediatric neurologist and founder of SimulConsult. They explore how AI aids doctors in making faster, more accurate diagnoses, leading to better patien ... Show More

Dr. Linda Chu discusses the validation of artificial intelligence cardiac MRI measurements and relationship to heart catherization and mortality prediction with Dr. Samer Alabed and Dr. Andrew Swift. Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to ... 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. 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. 

<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

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>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