How Does Deep Neural Network-Based Noise Reduction in Hearing Aids Impact Cochlear Implant Candidacy?
DNN-based noise reduction might make it difficult for some patients with significant residual hearing to qualify for cochlear implantation, potentially delaying its adoption or eliminating the need for it entirely.
Authors
- Cynthia A. Hogan (ORCID: https://orcid.org/0009-0003-3810-3443)
- Solveig C. Voss
- Volker Kühnel
- Jonathan M. Vaisberg (ORCID: https://orcid.org/0000-0001-9500-1097)
- Madison K. Graham
- Jinyu Qian
- Bilal N. Sheikh (ORCID: https://orcid.org/0000-0002-1970-6236)
- Natasha J. Bertsch
- Elizabeth McDonald (ORCID: https://orcid.org/0000-0003-4970-1572)
- Aniket A. Saoji
- Melissa D. DeJong
- Kayla R. Goulson
- Abigail E. Bross
Institutions
- Mayo Clinic (US)
- WinnMed (US)
Publication Details
- Journal
- Audiology Research
- Published
- 2024-12-13
- DOI
- https://doi.org/10.3390/audiolres14060092
- Citations
- 4
- Primary Topic
- Hearing Loss and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 1.37