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Title:

You Can't Have AI Both Ways: Balancing Health Data Privacy and Access Fairly.

Document type:
Journal Article
Author(s):
Bak, Marieke; Madai, Vince Istvan; Fritzsche, Marie-Christine; Mayrhofer, Michaela Th; McLennan, Stuart
Abstract:
Artificial intelligence (AI) in healthcare promises to make healthcare safer, more accurate, and more cost-effective. Public and private actors have been investing significant amounts of resources into the field. However, to benefit from data-intensive medicine, particularly from AI technologies, one must first and foremost have access to data. It has been previously argued that the conventionally used "consent or anonymize approach" undermines data-intensive medicine, and worse, may ultimately...     »
Journal title abbreviation:
Front Genet
Year:
2022
Journal volume:
13
Fulltext / DOI:
doi:10.3389/fgene.2022.929453
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/35769991
Print-ISSN:
1664-8021
TUM Institution:
Institut für Geschichte und Ethik der Medizin (Prof. Buyx)
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