An ultrasound-based artificial intelligence framework for difficult airway prediction: A two-model, three-step decision framework

This study proposes an ultrasound-based AI framework for risk stratification of difficult laryngoscopic exposure. The Two-Model, Three-Step decision framework is intended as a clinician decision-support tool, not an independent diagnostic method, and requires further validation in large multicenter cohorts.

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Publication Details

Journal
PLoS ONE
Published
2026-02-18
DOI
https://doi.org/10.1371/journal.pone.0342339
Primary Topic
Airway Management and Intubation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

An ultrasound-based artificial intelligence framework for difficult airway prediction: A two-model, three-step decision framework

Zejun Niu, Xia Zhou, Yuanfang Jia, Huabo Liu et al.
PLoS ONE
Airway Management and Intubation Techniques
article

An ultrasound-based artificial intelligence framework for difficult airway prediction: A two-model, three-step decision framework

Zejun Niu, Xia Zhou, Yuanfang Jia, Huabo Liu, Cunyuan Luan, Wenfei Wang, Lei Zhang, Chunmeng Fu, Bing Ding, Li Yuan
article en

Abstract

This study proposes an ultrasound-based AI framework for risk stratification of difficult laryngoscopic exposure. The Two-Model, Three-Step decision framework is intended as a clinician decision-support tool, not an independent diagnostic method, and requires further validation in large multicenter cohorts.

PLoS ONEVol. 21(2)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 51%
Airway Management and Intubation Techniques
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