Welcome to the next installment of the Anesthesia Patient Safety podcast hosted by Alli Bechtel.  This podcast will be an exciting journey towards improved anesthesia patient safety.Today on the show, I discuss the APSF Grant Recipient for 2020, Scott Segal, MD, for his winning project  “Development of Machine Learning Algorithms to Predict Difficult Airway Management.” This is an APSF/Medtronic Research Award. Segal’s project seeks to develop a facial recognition machine learning program to replace bedside tests and physical exam findings for difficult airway prediction. Tune in to learn about this project and another exciting study about a difficult airway early warning system.© 2020, The Anesthesia Patient Safety FoundationFor show notes & transcript, visit our episode page at apsf.org: https://www.apsf.org/podcast/12-difficult-airways-and-the-apsf-research-program/