García-García, Fernando, et al. “Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.” Computer Methods and Programs in Biomedicine 248 (2024): 108118.

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods

Background
Estimating the risk of a difficult tracheal intubation should help clinicians in better anaesthesia planning, to maximize patient safety. Routine bedside screenings suffer from low sensitivity.

Objective
To develop and evaluate machine learning (ML) and deep learning (DL) algorithms for the reliable prediction of intubation risk, using information about airway morphology.

Citation

García-García, Fernando, et al. "Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods." Computer Methods and Programs in Biomedicine 248 (2024): 108118.

Authors from IE Research Datalab

Dae-Jin Lee

Assistant Professor

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