Machine Learning Approaches for Predicting Difficult Airway and First-Pass Success in the Emergency Department: Multicenter Prospective Observational Study

Syunsuke Yamanaka   ¹ , MD, PhD ;   Tadahiro Goto   ² , MD, MPH, PhD ;   Koji Morikawa   ³ , PhD ;   Hiroko Watase   ⁴ , MD, MPH ;   Hiroshi Okamoto   ⁵ , MD, MPH ;   Yusuke Hagiwara   ⁶ , MD, MPH ;   Kohei Hasegawa   ⁷ , MD, MPH

¹ Department of Emergency Medicine & General Internal Medicine, The University of Fukui, Fukui, Japan

² Department of Clinical Epidemiology & Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan

³ Connect Inc, Tokyo, Japan

⁴ Department of Surgery, University of Washington, Seattle, WA, United States

⁵ Department of Intensive Care, St. Luke's International Hospital, Tokyo, Japan

⁶ Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan

⁷ Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States