In this episode, we dive into how AI is changing emergency medicine with Dr. Peter Steel, an expert in AI and EM at Cornell. We break down the basics of AI, machine learning, and deep learning, explore real-world applications like improving triage and clinical decision-making, and tackle challenges like bias and integration in high-pressure settings. Dr. Steel shares insights on generative AI, large language models, and the exciting future of AI in EM. If you’re curious about how AI can transform patient care and what’s next for the field, this episode is for you!

How are you using AI in your ED? What are your concerns and hopes for the future of AI in medicine? Keep the discussion going on social media @empulsepodcast or at ucdavisem.com

Hosts:

Dr. Julia Magaña, Professor of Pediatric Emergency Medicine at UC Davis

Dr. Sarah Medeiros, Associate Professor of Emergency Medicine at UC Davis

Guest:

Dr. Peter Steel, Associate Professor of Clinical Emergency Medicine and Vice Chair of Clinical Services at Weill Cornell Medical College

Resources:

Challen R, Denny J, Pitt M, Gompels L, Edwards T, Tsaneva-Atanasova K. Artificial intelligence, bias and clinical safety. BMJ Qual Saf. 2019 Mar;28(3):231-237. doi: 10.1136/bmjqs-2018-008370. Epub 2019 Jan 12. PMID: 30636200; PMCID: PMC6560460.

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Thank you to the UC Davis Department of Emergency Medicine for supporting this podcast and to Orlando Magaña at OM Productions for audio production services.

AI In EM – Part 1: The Machines Are Here!