@techreport{wasmann_computational_2020,
	title = {Computational {Audiology}: {New} {Approaches} to {Advance} {Hearing} {Health} {Care} in the {Digital} {Age}},
	shorttitle = {Computational {Audiology}},
	url = {https://psyarxiv.com/hu8eg/},
	abstract = {The global digital transformation enables computational audiology for advanced clinical applications that have the potential to impact the global burden of hearing loss. In this paper we describe emerging hearing-related artificial intelligence applications and argue for their potential to improve access, precision and efficiency of hearing health care services. In addition, 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 open-source models using interoperable shared data and where health care providers adopt new roles within a network of distributed expertise. All of this should take place in a health care system where privacy, the responsibility of each stakeholder and, most importantly, the safety and autonomy of patients are all guarded by design.},
	urldate = {2020-11-11},
	institution = {PsyArXiv},
	author = {Wasmann, Jan-Willem and Lanting, Cris and Huinck, Wendy and Mylanus, Emmanuel and Laak, Jeroen van der and Govaerts, Paul and Swanepoel, De Wet and Moore, David R. and {Barbour, D. L.}},
	month = jun,
	year = {2020},
	doi = {10.31234/osf.io/hu8eg},
	keywords = {Artificial Intelligence, Big Data, Computational Audiology, Computational Infrastructure, Digital Hearing Health care, Engineering Psychology, Hearing Loss, Machine Learning},
}

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In addition, 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 open-source models using interoperable shared data and where health care providers adopt new roles within a network of distributed expertise. All of this should take place in a health care system where privacy, the responsibility of each stakeholder and, most importantly, the safety and autonomy of patients are all guarded by design.","urldate":"2020-11-11","institution":"PsyArXiv","author":[{"propositions":[],"lastnames":["Wasmann"],"firstnames":["Jan-Willem"],"suffixes":[]},{"propositions":[],"lastnames":["Lanting"],"firstnames":["Cris"],"suffixes":[]},{"propositions":[],"lastnames":["Huinck"],"firstnames":["Wendy"],"suffixes":[]},{"propositions":[],"lastnames":["Mylanus"],"firstnames":["Emmanuel"],"suffixes":[]},{"propositions":[],"lastnames":["Laak"],"firstnames":["Jeroen","van","der"],"suffixes":[]},{"propositions":[],"lastnames":["Govaerts"],"firstnames":["Paul"],"suffixes":[]},{"propositions":[],"lastnames":["Swanepoel"],"firstnames":["De","Wet"],"suffixes":[]},{"propositions":[],"lastnames":["Moore"],"firstnames":["David","R."],"suffixes":[]},{"firstnames":[],"propositions":[],"lastnames":["Barbour, D. L."],"suffixes":[]}],"month":"June","year":"2020","doi":"10.31234/osf.io/hu8eg","keywords":"Artificial Intelligence, Big Data, Computational Audiology, Computational Infrastructure, Digital Hearing Health care, Engineering Psychology, Hearing Loss, Machine Learning","bibtex":"@techreport{wasmann_computational_2020,\n\ttitle = {Computational {Audiology}: {New} {Approaches} to {Advance} {Hearing} {Health} {Care} in the {Digital} {Age}},\n\tshorttitle = {Computational {Audiology}},\n\turl = {https://psyarxiv.com/hu8eg/},\n\tabstract = {The global digital transformation enables computational audiology for advanced clinical applications that have the potential to impact the global burden of hearing loss. In this paper we describe emerging hearing-related artificial intelligence applications and argue for their potential to improve access, precision and efficiency of hearing health care services. In addition, 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 open-source models using interoperable shared data and where health care providers adopt new roles within a network of distributed expertise. All of this should take place in a health care system where privacy, the responsibility of each stakeholder and, most importantly, the safety and autonomy of patients are all guarded by design.},\n\turldate = {2020-11-11},\n\tinstitution = {PsyArXiv},\n\tauthor = {Wasmann, Jan-Willem and Lanting, Cris and Huinck, Wendy and Mylanus, Emmanuel and Laak, Jeroen van der and Govaerts, Paul and Swanepoel, De Wet and Moore, David R. and {Barbour, D. 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