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

Digital Health Reviews (1289) Machine Learning (1465) Hearing Impairment and Hearing Loss (67) ENT (Ear, Nose, Throat) (29) Development of Novel Medical Devices and Innovations for Existing Devices (80) Digital Health, Telehealth and e-Innovation in Clinical Settings (401)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32581, first published .
Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review

Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review

Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review

Authors of this article:

Jan-Willem Wasmann1 Author Orcid Image ;   Leontien Pragt1 Author Orcid Image ;   Robert Eikelboom2, 3, 4 Author Orcid Image ;   De Wet Swanepoel2, 3, 4 Author Orcid Image
Article Authors Cited by (29) Tweetations (24) Metrics

Journals

  1. Liu H, Du B, Liu B, Fu X, Wang Y. Clinical comparison of two automated audiometry procedures. Frontiers in Neuroscience 2022;16 View
  2. Pragt L, van Hengel P, Grob D, Wasmann J. Preliminary Evaluation of Automated Speech Recognition Apps for the Hearing Impaired and Deaf. Frontiers in Digital Health 2022;4 View
  3. Almufarrij I, Dillon H, Dawes P, Moore D, Yeung W, Charalambous A, Thodi C, Munro K. Web- and app-based tools for remote hearing assessment: a scoping review. International Journal of Audiology 2023;62(8):699 View
  4. Masalski M, Turski M, Zatoński T. Self-assessment of bone conduction hearing threshold using mobile audiometry: comparison with pure tone audiometry. International Journal of Audiology 2024;63(7):535 View
  5. Szymański P, Poremski T, Kostek B. Combining MUSHRA Test and Fuzzy Logic in the Evaluation of Benefits of Using Hearing Prostheses. Electronics 2023;12(20):4345 View
  6. Rahim T, Sunjaya D, Hilmanto D, Hasansulama W, Putra F. Hearing Screening Alternative Using a Website-Based Application. Journal of Audiology and Otology 2023;27(3):123 View
  7. Swanepoel D. Advancing Equitable Hearing Care: Innovations in Technology and Service Delivery. Folia Phoniatrica et Logopaedica 2023;75(4):201 View
  8. Chong-White N, Incerti P, Poulos M, Tagudin J. Exploring teleaudiology adoption, perceptions and challenges among audiologists before and during the COVID-19 pandemic. BMC Digital Health 2023;1(1) View
  9. Bug M, Strüp M, Vollbort S, Fedtke T. Influence of response-time limits on automated hearing threshold determination. International Journal of Audiology 2024;63(8):648 View
  10. Ferguson M, Eikelboom R, Sucher C, Maidment D, Bennett R. Remote Technologies to Enhance Service Delivery for Adults: Clinical Research Perspectives. Seminars in Hearing 2023;44(03):328 View
  11. Wasmann J, Huinck W, Lanting C. Remote Cochlear Implant Assessments: Validity and Stability in Self-Administered Smartphone-Based Testing. Ear & Hearing 2024;45(1):239 View
  12. Kutlubaev M, Mustafina I, Lyutov O, Karimova G, Rakhmatullin A. Digital technologies in the assessment of neurological status. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 2023;123(6):129 View
  13. Zhou H, Meng Q, Liu X, Wu P, Shang S, Xiao W, Kang Y, Li J, Wang Y, Zheng N. The Chinese Zodiac-in-Noise Test: An Internet-Based Speech-in-Noise Test for Large-Scale Hearing Screening. Ear & Hearing 2024;45(2):451 View
  14. Yang T, Chen Y, Cheng Y, Huang J, Wu C, Chu Y. Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S. BioData Mining 2023;16(1) View
  15. Liu H, Fu X, Li M, Wang S. Comparisons of air-conduction hearing thresholds between manual and automated methods in a commercial audiometer. Frontiers in Neuroscience 2023;17 View
  16. Sienko A, Thirunavukarasu A, Kuzmich T, Allen L. An Initial Validation of Community-Based Air-Conduction Audiometry in Adults With Simulated Hearing Impairment Using a New Web App, DigiBel: Validation Study. JMIR Formative Research 2024;8:e51770 View
  17. Jin K, Li Y, Wu H, Tham Y, Koh V, Zhao Y, Kawasaki R, Grzybowski A, Ye J. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review. Advances in Ophthalmology Practice and Research 2024 View
  18. Thoidis I, Hazan A, Snik A, Rivilla J, Budzyński K, Mendez N, Kinsbergen J. Test-retest reliability of remote home-based audiometry in differing ambient noise conditions. Frontiers in Audiology and Otology 2024;2 View
  19. Masalski M. The Hearing Test App for Android Devices: Distinctive Features of Pure-Tone Audiometry Performed on Mobile Devices. Medical Devices: Evidence and Research 2024;Volume 17:151 View
  20. Sadegh-Zadeh S, Soleimani Mamalo A, Kavianpour K, Atashbar H, Heidari E, Hajizadeh R, Roshani A, Habibzadeh S, Saadat S, Behmanesh M, Saadat M, Gargari S. Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions. Frontiers in Artificial Intelligence 2024;7 View
  21. Wu Y, Yao J, Xu X, Zhou L, Salvi R, Ding S, Gao X. Combination of static and dynamic neural imaging features to distinguish sensorineural hearing loss: a machine learning study. Frontiers in Neuroscience 2024;18 View
  22. Brice S, Zakis J, Almond H. Changing Knowledge, Principles, and Technology in Contemporary Clinical Audiological Practice: A Narrative Review. Journal of Clinical Medicine 2024;13(15):4538 View
  23. Liu X, Guo P, Wang D, Hsieh Y, Shi S, Dai Z, Wang D, Li H, Wang W. Applications of Machine Learning in Meniere's Disease Assessment Based on Pure‐Tone Audiometry. Otolaryngology–Head and Neck Surgery 2024 View
  24. Saxby A, Schofield D, Tout F, Gordon J, Verkerk M, Watson T, Jufas N, Kong J, Patel N, Ward K, Caswell J. The Earphone Project pilot: a tele-otology study for remote Aboriginal communities. Australian Journal of Otolaryngology 2024;7:38 View
  25. Wallaert N, Perry A, Quarino S, Jean H, Creff G, Godey B, Paraouty N. Performance and reliability evaluation of an improved machine learning‐based pure‐tone audiometry with automated masking. World Journal of Otorhinolaryngology - Head and Neck Surgery 2024 View
  26. Wallaert N, Perry A, Jean H, Creff G, Godey B, Paraouty N. Performance and Reliability Evaluation of an Automated Bone-Conduction Audiometry Using Machine Learning. Trends in Hearing 2024;28 View
  27. Frosolini A, Franz L, Caragli V, Genovese E, de Filippis C, Marioni G. Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions. Sensors 2024;24(22):7126 View
  28. Fatehifar M, Schlittenlacher J, Almufarrij I, Wong D, Cootes T, Munro K. Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review. International Journal of Audiology 2024:1 View

Books/Policy Documents

  1. Lu Q, Peng X. Wisdom, Well-Being, Win-Win. View