Transformers for rapid detection of airway stenosis and stridor

Upper airway stenosis is a potentially life-threatening condition involving the narrowing of the airway. In more severe cases, airway stenosis may be accompanied by stridor, a type of disordered breathing caused by turbulent airflow. Patients with airway stenosis have a higher risk of airway failure and additional precautions must be taken before medical interventions like intubation. However, stenosis and stridor are often misdiagnosed as other respiratory conditions like asthma/wheezing, worsening outcomes. This report presents a unified dataset containing recorded breathing tasks from patients with stridor and airway stenosis. Customized transformer-based models were also trained to perform stenosis and stridor detection tasks using low-cost data from multiple acoustic prompts recorded on common devices. These methods achieved AUC scores of 0.875 for stenosis detection and 0.864 for stridor detection, demonstrating the potential to add value as screening tools in real-world clinical workflows, particularly in high-volume settings like emergency departments.

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Publication Details

Journal
Scientific Reports
Published
2025-05-02
DOI
https://doi.org/10.1038/s41598-025-99369-y
Citations
1
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
1.16

Funders

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article

Transformers for rapid detection of airway stenosis and stridor

Maria Powell, Hannah Huth, Rebecca Doctor, Yassmeen Abdel‐Aty et al.
1 citations
Scientific Reports
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Transformers for rapid detection of airway stenosis and stridor

Maria Powell, Hannah Huth, Rebecca Doctor, Yassmeen Abdel‐Aty, Bradford J. Wood, Stephanie Watts, Micah Boyer, David A. Clifton, Gregory R. Dion, Shaheen N. Awan, Alexander H. Gelbard, Karlee Newberry, James Anibal, Jamie Toghranegar, Iris De Santiago, Veronica Daoud
article en
1 citations

Abstract

Upper airway stenosis is a potentially life-threatening condition involving the narrowing of the airway. In more severe cases, airway stenosis may be accompanied by stridor, a type of disordered breathing caused by turbulent airflow. Patients with airway stenosis have a higher risk of airway failure and additional precautions must be taken before medical interventions like intubation. However, stenosis and stridor are often misdiagnosed as other respiratory conditions like asthma/wheezing, worsening outcomes. This report presents a unified dataset containing recorded breathing tasks from patients with stridor and airway stenosis. Customized transformer-based models were also trained to perform stenosis and stridor detection tasks using low-cost data from multiple acoustic prompts recorded on common devices. These methods achieved AUC scores of 0.875 for stenosis detection and 0.864 for stridor detection, demonstrating the potential to add value as screening tools in real-world clinical workflows, particularly in high-volume settings like emergency departments.

Scientific ReportsVol. 15(1)
University of Central Florida (US), Vanderbilt University (US), University of South Florida (US), Oxford Centre for Computational Neuroscience (GB), National Institutes of Health Clinical Center (US), University of Cincinnati (US), Vanderbilt University Medical Center (US)
NIH Clinical Center
Openalex Percentile: Top 23%
Voice and Speech Disorders
1.16
DOIOpen Access PDFOpenAlex
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