| Literature DB >> 33675587 |
Jan-Willem A Wasmann1, Cris P Lanting1, Wendy J Huinck1, Emmanuel A M Mylanus1, Jeroen W M van der Laak2,3, Paul J Govaerts4, De Wet Swanepoel5, David R Moore6,7,8, Dennis L Barbour9.
Abstract
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.Entities:
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Year: 2021 PMID： 33675587 PMCID： PMC8417156 DOI： 10.1097/AUD.0000000000001041
Source DB: PubMed Journal: Ear Hear ISSN： 0196-0202 Impact factor: 3.570