关于数字化与人工智能、数据保护、数据交换、数据挖掘——睡眠医学的法律限制/挑战
About Digitalisation and AI, Data Protection, Data Exchange, Data Mining-Legal Constraints/Challenges Concerning Sleep Medicine.
作者信息
Feige Bernd, Benz Fee, Dressle Raphael J, Riemann Dieter
机构信息
Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Freiburg, Germany.
Faculty of Medicine, University of Freiburg, Freiburg, Germany.
出版信息
J Sleep Res. 2025 Oct;34(5):e70044. doi: 10.1111/jsr.70044. Epub 2025 Mar 19.
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.
摘要
近年来，人工智能（AI）方法的变革催生了大量用例，但也引发了人们对这些方法实际效用和边界的不确定性。在本综述中，我们将简要介绍其主要特征，然后重点关注睡眠医学中的用例，区分四个主要领域：测量睡眠状态、推进诊断、推进研究和总体进展。接着，我们将概述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。
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