About Digitalisation and <scp>AI</scp> , Data Protection, Data Exchange, Data Mining—Legal Constraints/Challenges Concerning Sleep Medicine
The revolution of artificial intelligence (AI) methods in the scope of the last years has inspired a deluge of use cases but has also caused uncertainty about the actual utility and boundaries of these methods. In this overview, we briefly introduce their main characteristics before focusing on use cases in sleep medicine, discriminating four main areas: Measuring sleep state, advancing diagnostics, advancing research and general advances. We then outline the current European legal framework on AI and the related topic of data sharing.
Authors
- Bernd Feige (ORCID: https://orcid.org/0000-0002-9436-1258)
- Dieter Wilhelm Riemann (ORCID: https://orcid.org/0000-0002-1968-6220)
- Raphael J. Dressle (ORCID: https://orcid.org/0000-0001-9408-5196)
- Fee Benz (ORCID: https://orcid.org/0000-0002-8394-9179)
Institutions
- University of Freiburg (DE)
- University Medical Center Freiburg (DE)
Publication Details
- Journal
- Journal of Sleep Research
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1111/jsr.70044
- Citations
- 2
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 2.33