Performance and reliability evaluation of an improved machine learning‐based pure‐tone audiometry with automated masking

Together, our results validate the use of this improved ML-based method in adult clinical tests for air-conduction audiometry.

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Publication Details

Journal
World Journal of Otorhinolaryngology - Head and Neck Surgery
Published
2024-09-12
DOI
https://doi.org/10.1002/wjo2.208
Citations
6
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
2.06
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article

Performance and reliability evaluation of an improved machine learning‐based pure‐tone audiometry with automated masking

Nicolas Wallaert, Nihaad Paraouty, Gwenaëlle Creff, Hadrien Jean et al.
6 citations
World Journal of Otorhinolaryngology - Head and Neck Surgery
Hearing Loss and Rehabilitation
2.06
article

Performance and reliability evaluation of an improved machine learning‐based pure‐tone audiometry with automated masking

Nicolas Wallaert, Nihaad Paraouty, Gwenaëlle Creff, Hadrien Jean, Benoît Godey, Sandra Quarino, Antoine Perry
article en
6 citations

Abstract

Together, our results validate the use of this improved ML-based method in adult clinical tests for air-conduction audiometry.

World Journal of Otorhinolaryngology - Head and Neck SurgeryVol. 11(2)
Centre Hospitalier Universitaire de Rennes (FR)
Quality Education
Openalex Percentile: Top 13%
Hearing Loss and Rehabilitation
2.06
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