This paper is in the following e-collection/theme issue:

New Methods (959) Machine Learning (1491) Artificial Intelligence (1409) Computer-Aided Diagnosis (134)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25247, first published .
Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Authors of this article:

Hao-Chun Hu1, 2, 3 Author Orcid Image ;   Shyue-Yih Chang4 Author Orcid Image ;   Chuen-Heng Wang5 Author Orcid Image ;   Kai-Jun Li2 Author Orcid Image ;   Hsiao-Yun Cho2, 6 Author Orcid Image ;   Yi-Ting Chen5 Author Orcid Image ;   Chang-Jung Lu4 Author Orcid Image ;   Tzu-Pei Tsai4 Author Orcid Image ;   Oscar Kuang-Sheng Lee1, 7, 8, 9 Author Orcid Image
Article Authors Cited by (41) Tweetations (8) Metrics

Journals

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  18. Kim H, Park H, Park D, Im S, Lee S. Non-invasive way to diagnose dysphagia by training deep learning model with voice spectrograms. Biomedical Signal Processing and Control 2023;86:105259 View
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  23. Lee J, Seok J, Kim J, Kim H, Kwon T. Evaluating the Diagnostic Potential of Connected Speech for Benign Laryngeal Disease Using Deep Learning Analysis. Journal of Voice 2024 View
  24. Gupta R, Gunjawate D, Nguyen D, Jin C, Madill C. Voice disorder recognition using machine learning: a scoping review protocol. BMJ Open 2024;14(2):e076998 View
  25. Kim H, Song J, Park S, Lee Y. Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis. Scientific Reports 2024;14(1) View
  26. Nwosu O, Naunheim M. Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery. Otolaryngologic Clinics of North America 2024;57(5):821 View
  27. Kim J, Seok J, Lee J, Lee J, Kwon T. Deep-Learning-Based Segmentation of Predefined Chunks in Connected Speech: A Retrospective Analysis. Journal of The Korean Society of Laryngology, Phoniatrics and Logopedics 2024;35(1):15 View
  28. Low D, Rao V, Randolph G, Song P, Ghosh S, Li-Jessen N. Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings. PLOS Digital Health 2024;3(5):e0000516 View
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Books/Policy Documents

  1. Kim C, Lee S, Lee K. Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. View
  2. Farrokhian N, Bur A. Big Data in Otolaryngology. View