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Prediction of Difficult Tracheal Intubation by Artificial Intelligence: A Prospective Observational Study
2021
Duzce Universitesi Tip Fakültesi Dergisi
Aim: Many predictive clinical tests are used together for preoperative detection of patients with difficult airway risk. In this study, we aimed to predict difficult intubation with different artificial intelligence algorithms using various clinical tests and anthropometric measurements, besides, to evaluate the accuracy performance of Cormack and Lehane (C-L) classification with artificial intelligence. Material and Methods: This study was conducted as a single-blind prospective observational
doi:10.18678/dtfd.862467
fatcat:ip5bypztejhzfersodmph3zpbe