Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
| Autor: | David R. Moore, Emmanuel A. M. Mylanus, Wendy J. Huinck, Jan-Willem A. Wasmann, Cris P. Lanting, Paul J. Govaerts, Dennis L. Barbour, Jeroen W. M. van der Laak, De Wet Swanepoel |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Hearing loss Computer science media_common.quotation_subject Interoperability Audiology Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12] Article Speech and Hearing All institutes and research themes of the Radboud University Medical Center Hearing Artificial Intelligence Health care medicine Humans Hearing Loss media_common business.industry Digital transformation Stakeholder Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] Otorhinolaryngology Applications of artificial intelligence medicine.symptom business Delivery of Health Care Autonomy |
| Zdroj: | Ear Hear Ear and Hearing, 42, 6, pp. 1499-1507 Ear and Hearing, 42, 1499-1507 |
| ISSN: | 0196-0202 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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