Artificial intelligence-powered electronic skin
Artificial intelligence-powered electronic skin
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DOI：
10.1038/s42256-023-00760-z
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发表时间：
2023-12
影响因子：
23.8
通讯作者：
Changhao Xu;Samuel A. Solomon;Wei Gao
中科院分区：
文献类型：
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作者：
Changhao Xu;Samuel A. Solomon;Wei Gao
皮肤接口电子设备通过实现对生理和生化信息的持续和非侵入性跟踪，正在逐步改变医疗实践。随着大数据和数字医学的兴起，下一代电子皮肤(e-Skin)将能够使用人工智能(AI)来优化其设计，并揭示用户个性化的健康档案。最近的多模式电子皮肤平台已经使用机器学习算法进行自主数据分析。不幸的是，对于电子皮肤设备，缺乏合适的人工智能协议和指南，导致过于复杂的模型和简单应用的不可重现的结论。这篇综述旨在介绍电子皮肤硬件中的人工智能技术，并评估它们作为新的灵感来源的集成平台解决方案的潜力。我们概述了人工智能战略的最新突破及其在工程电子皮肤以及理解电子皮肤收集的健康信息方面的应用，强调了人工智能在机器人、假肢、虚拟现实和个性化医疗方面的变革性部署。我们还讨论了人工智能支持的电子皮肤的挑战和前景，以及对智能电子皮肤未来发展轨迹的预测。
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and non-invasive tracking of physiological and biochemical information. With the rise of big data and digital medicine, next-generation electronic skin (e-skin) will be able to use artificial intelligence (AI) to optimize its design as well as uncover user-personalized health profiles. Recent multimodal e-skin platforms have already used machine learning algorithms for autonomous data analytics. Unfortunately, there is a lack of appropriate AI protocols and guidelines for e-skin devices, resulting in overly complex models and non-reproducible conclusions for simple applications. This Review aims to present AI technologies in e-skin hardware and assess their potential for new inspired integrated platform solutions. We outline recent breakthroughs in AI strategies and their applications in engineering e-skins as well as understanding health information collected by e-skins, highlighting the transformative deployment of AI in robotics, prosthetics, virtual reality and personalized healthcare. We also discuss the challenges and prospects of AI-powered e-skins as well as predictions for the future trajectory of smart e-skins.