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Airway & ventilation
AI in prehospital airway care still experimental
From decision support to clinical integration: A scoping review of artificial intelligence in prehospital airway management
International Journal of Medical Informatics · Added 23 May 2026
They reviewed AI applications in prehospital airway management and found most tools remain experimental, with limited integration into clinical workflows despite promising capabilities for difficult airway prediction and real-time guidance.
- Study type
- Systematic review
- Design
- Scoping review (PRISMA-ScR)
- Participants
- 9 studies published 2020–2026
- Main finding
- AI applications spanned prediction/triage, physiological monitoring, documentation NLP, and computer vision for intubation; reported AUCs 0.867–0.960, but all studies used retrospective data with internal validation and none were prospective trials.
- Caveat
- Only nine small studies, all retrospective with limited external validation
- Bottom line
- Hypothesis-generating
Learning goal
Weigh the readiness of AI decision support for difficult airway prediction in my prehospital practice.
More
- Topic: Airway & ventilation
- Daily scan: 23 May 2026
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