Acoustic signatures of organic lesions and the role of artificial intelligence in voice disorder diagnostics
Objective Voice disorders resulting from organic vocal cord lesions, whether benign or malignant, often lack reliable non-invasive diagnostic tools, which can lead to delays in treatment. This study aims to identify distinctive acoustic biomarkers and develop machine learning models for accurate cla...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
SAGE Publishing
2025-10-01
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| Seri Bilgileri: | Digital Health |
| Online Erişim: | https://doi.org/10.1177/20552076251376264 |
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