Application of an artificial intelligence-based airway identification system in tracheal intubation.

ABSTRACT:

Background

Tracheal intubation is an important component in pre-hospital cardiopulmonary resuscitation and trauma resuscitation, which generally requires higher technical skill and systematic training. Due to the lack of sufficient clinical experience among frontline health care providers and the limited availability of airway management tools, establishing advanced airways promptly remains challenging. To address this challenge, we developed an artificial intelligence model designed for real-time identification of airway structures to assist health care providers in quickly mastering tracheal intubation procedures.

Methods

A total of 3912 airway‑anatomical images derived from 978 patients at the Daping Hospital of Army Medical University (January 2024 - July 2024) were incl

SUBMITTER: Liu H 

PROVIDER: S-EPMC12801747 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature