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

New Methods (944) Machine Learning (1465) Artificial Intelligence (1371) Computer-Aided Diagnosis (128)

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 (39) Tweetations (8) Metrics

Journals

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  11. Sakthivel S, Prabhu V, Jhaveri R. Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy. Journal of Healthcare Engineering 2022;2022:1 View
  12. Wang X, Wang T, Ding B. Voice Recognition and Evaluation of Vocal Music Based on Neural Network. Computational Intelligence and Neuroscience 2022;2022:1 View
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  17. Yu Y, Niu Q, Li X, Xue J, Liu W, Lin D. A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications. Micromachines 2023;14(6):1253 View
  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
  19. Watase T, Omiya Y, Tokuno S. Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study. JMIR Biomedical Engineering 2023;8:e50924 View
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  21. Lee J, Hamill C, Shnayder Y, Buczek E, Kakarala K, Bur A. Exploring the Role of Artificial Intelligence Chatbots in Preoperative Counseling for Head and Neck Cancer Surgery. The Laryngoscope 2024;134(6):2757 View
  22. Barlow J, Sragi Z, Rivera‐Rivera G, Al‐Awady A, Daşdöğen Ü, Courey M, Kirke D. The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review. Otolaryngology–Head and Neck Surgery 2024;170(6):1531 View
  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
  29. Nobel S, Swapno S, Islam M, Safran M, Alfarhood S, Mridha M. A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method. Scientific Reports 2024;14(1) View
  30. Torborg S, Kim A, Rameau A. New developments in the application of artificial intelligence to laryngology. Current Opinion in Otolaryngology & Head & Neck Surgery 2024;32(6):391 View
  31. Nguyen-Vo T, Do T, Nguyen B. Multitask Learning on Graph Convolutional Residual Neural Networks for Screening of Multitarget Anticancer Compounds. Journal of Chemical Information and Modeling 2024;64(18):6957 View
  32. Er M, İlhan N. Voice Pathology Detection Based on Canonical Correlation Analysis Method Using Hilbert–Huang Transform and LSTM Features. Arabian Journal for Science and Engineering 2024 View

Books/Policy Documents

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