#12 Difficult Airways and the APSF Research Program

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 Foundation

For show notes & transcript, visit our episode page at apsf.org: https://www.apsf.org/podcast/12-difficult-airways-and-the-apsf-research-program/