Artificial intelligence in airway management: a narrative review
Authors' conclusion
Despite these advances, AI should complement rather than replace human expertise.
Study context
- Population
- Artificial intelligence (AI) applications in airway management
Methodological detailsstructured literature search, Structured literature search completed in July 2025
- Structured literature search
- Structured literature search completed in July 2025
Main finding
As reported in the abstract
- AI shows promise in predicting difficult airways (facial recognition, voice analysis, multiparametric assessment), with improved PPV vs conventional bedside tests, though prediction remains imperfect and low PPV persists at reduced levels
- For videolaryngoscopy, AI systems provide real-time structure identification, procedural guidance, tracheal tube placement verification and potentially fewer complications
- AI offers cognitive support in critical scenarios: mitigating decision biases, intelligent alarms, guideline adherence
- AI-enhanced virtual reality simulations provide realistic practice with personalised feedback
- Experimental AI-guided robotic intubation performs comparably with experts in controlled settings, primarily for training and remote applications
Original publication
Artificial intelligence in airway management: a narrative review. Br J Anaesth. Published 4 February 2026. doi:10.
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