The Future of Artificial Intelligence Using Images and Clinical Assessment for Difficult Airway Management.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38557728.
- Also identified by DOI 10.1213/ANE.0000000000006969 and PMC identifier 11687942.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and sophisticated methods that recognize complex patterns in imaging data providing high qualitative assessments. Several machine-learning and deep-learning models using imaging techniques have been recently developed and validated to predict difficult airways. Despite advances in AI modeling. In this review article, we describe the advantages of using AI models. We explore how these methods could impact clinical practice. Finally, we discuss predictive modeling for difficult laryngoscopy using machine-learning and the future approach with intelligent intubation devices.
Medical subject headings
- Artificial Intelligence
- Airway Management
- Laryngoscopy
- Intubation, Intratracheal