About Digitalisation and AI, Data Protection, Data Exchange, Data Mining—Legal Constraints/Challenges Concerning Sleep Medicine

IF 3.9 3区 医学 Q2 CLINICAL NEUROLOGY Journal of Sleep Research Pub Date : 2025-03-19 DOI:10.1111/jsr.70044
Bernd Feige, Fee Benz, Raphael J. Dressle, Dieter Riemann
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Abstract

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.

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关于数字化和人工智能,数据保护,数据交换,数据挖掘-关于睡眠医学的法律限制/挑战。
过去几年,人工智能(AI)方法的革命激发了大量用例,但也导致了这些方法的实际效用和边界的不确定性。在这篇综述中,我们简要介绍了它们的主要特征,然后重点介绍了睡眠医学的用例,区分了四个主要领域:测量睡眠状态,推进诊断,推进研究和一般进展。然后,我们概述了当前欧洲关于人工智能的法律框架以及数据共享的相关主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Sleep Research
Journal of Sleep Research 医学-临床神经学
CiteScore
9.00
自引率
6.80%
发文量
234
审稿时长
6-12 weeks
期刊介绍: The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.
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