Season 5 Episode 10: AI and Acute Kidney Injury Detection
About this episode
This episode discusses the impact of Artificial Intelligence on Acute Kidney Injury detection with insights from Jay L. Koyner, MD.
Jay L. Koyner, MD, is a Professor of Medicine in the Section of Nephrology at the University of Chicago where he also serves as the Medical Director of the Inpatient Dialysis Unit, Director of ICU Nephrology and the Associate Program Director of the Nephrology-Critical Care Fellowship. He hosted by Dr. Sola Aoun Bahous, Dean and Professor of the Department of Internal Medicine, Division of Nephrology at the Lebanese American University. Sola is also the Chair-Elect of the ISN Education Working Group. In this episode, Jay and Sola discuss the Acute Kidney Injury and the impact of Artificial Intelligence on detection. They will discuss Jay’s research in multi-modal deep learning models and his building of practical AKI Alerts, and how these innovations could change kidney care worldwide.
More episodes of Global Kidney Care Podcast Provided by ISN
- Season 6 Episode 6: Operationalizing the Shift
- Season 6 Episode 4: Tackling One of Nephrology’s Biggest Mysteries: chronic kidney disease of unknown origin (CKDu)
- Season 6 Episode 3: The Emerging Role of Artificial Intelligence in Nephrology
- Season 6 Episode 2: WKD: Kidney Health for All: Caring for People, Protecting the Planet
- Season 6 Episode 1: Genetics for the Nephrologist (a sneak peek at the Genetics in Kidney Disease Curriculum)
- Season 5 Episode 9: Rethinking the Design and Conduct of Kidney Trials
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