The role of artificial intelligence in airway management: current applications and future perspectives

Artificial intelligence in airway management

Authors

  • Teodora Tubić University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; University Clinical Centre of Vojvodina, Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia
  • Danijela Milenković University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; University Clinical Centre of Vojvodina, Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia
  • Gordana Jovanović University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; University Clinical Centre of Vojvodina, Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia
  • Vladimir Dolinaj University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; University Clinical Centre of Vojvodina, Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia
  • Davor Križanović University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; University Clinical Centre of Vojvodina, Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia
  • Zorana Ostojić University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Institute of Public Health of Vojvodina, Novi Sad, Serbia

DOI:

https://doi.org/10.18054/pb.v127i1-2.35799

Abstract

Background and purpose: Artificial intelligence (AI) is a diverse field within computer science that focuses on creating and enhancing technologies, principles, methods, and application systems designed to replicate and enhance human intelligence. Over the past few decades, AI applications have significantly expanded across various medical fields. Despite the upgraded guidelines, challenges in managing difficult airways persist. Even with advancements in anaesthesia techniques and equipment, serious complications can still arise during the management of difficult airways. A consensus on the most effective method for assessing a difficult airway has not yet been established. Consequently, researchers are increasingly implementing AI and developing algorithms to assist anaesthesiologists and other healthcare professionals. This review aims to provide an overview and analysis of the current applications of AI in anaesthesiology, with a particular focus on difficult airways.

Conclusions: The development of AI has the potential to bring significant changes to this field, enabling more accurate and faster assessment of airway conditions, as well as improved monitoring during the intubation process. AI should serve as a supportive tool for physicians, simplifying their work and helping them make more informed decisions.

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Published

2025-09-11

Issue

Vol. 127 No. 1-2 (2025)

Section

Articles

License

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