ARCIMS 26
in
Sunday 2025-10-19 17:56
Is Machine Learning Shaping the Future of Difficult Airway Assessment?
Parnian Safikhani 1, Parisa Akbarpour 2 ©, Siamak Nazari 2, Bahareh Mahdood 3, Maryam Bakhshaei 1 ℗, Shaghayegh Bamian 1, Hanieh Hashemi 1
Abstract
Introduction: Accurate prediction of difficult airway or difficult intubation remains a critical concern in anesthesia and emergency medicine. Traditional clinical assessment tools often fall short in predictive accuracy. With the advent of artificial intelligence (AI) and machine learning (ML), new possibilities have emerged to enhance diagnostic precision and support clinical decision-making. This review synthesizes current evidence regarding the implementation of AI and ML algorithms in anticipating difficult airway management challenges. Search Strategy: The review was carried out from January to April 2025, following the PRISMA guidelines. A comprehensive search strategy was formulated using a combination of relevant
Keywords: Airway Management, Artificial intelligence, Machine learning, Intubation, Anesthesia
