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Computational Audio...
Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
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- Wasmann, Jan-Willem A. (author)
- Radboud Univ Nijmegen Med Ctr, Netherlands
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- Lanting, Cris P. (author)
- Radboud Univ Nijmegen Med Ctr, Netherlands
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- Huinck, Wendy J. (author)
- Radboud Univ Nijmegen Med Ctr, Netherlands
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- Mylanus, Emmanuel A. M. (author)
- Radboud Univ Nijmegen Med Ctr, Netherlands
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- van der Laak, Jeroen (author)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Klinisk patologi,Radboud Univ Nijmegen Med Ctr, Netherlands
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- Govaerts, Paul J. (author)
- The Eargrp, Belgium
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- Swanepoel, De Wet (author)
- Univ Pretoria, South Africa
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- Moore, David R. (author)
- Cincinnati Childrens Hosp Med Ctr, OH 45229 USA; Univ Cincinnati, OH USA; Univ Manchester, England
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- Barbour, Dennis L. (author)
- Washington Univ, MO 63110 USA
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(creator_code:org_t)
- LIPPINCOTT WILLIAMS & WILKINS, 2021
- 2021
- English.
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In: Ear and Hearing. - : LIPPINCOTT WILLIAMS & WILKINS. - 0196-0202 .- 1538-4667. ; 42:6, s. 1499-1507
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The global digital transformation enables computational audiology for advanced clinical applications that can reduce the global burden of hearing loss. In this article, we describe emerging hearing-related artificial intelligence applications and argue for their potential to improve access, precision, and efficiency of hearing health care services. Also, we raise awareness of risks that must be addressed to enable a safe digital transformation in audiology. We envision a future where computational audiology is implemented via interoperable systems using shared data and where health care providers adopt expanded roles within a network of distributed expertise. This effort should take place in a health care system where privacy, responsibility of each stakeholder, and patients safety and autonomy are all guarded by design.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Annan hälsovetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Other Health Sciences (hsv//eng)
Keyword
- Artificial intelligence; Big data; Computational audiology; Computational infrastructure; Digital hearing health care; Hearing loss; Machine learning
Publication and Content Type
- ref (subject category)
- art (subject category)
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