Xu Changhao, Solomon Samuel A, Gao Wei
Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
Nat Mach Intell. 2023 Dec;5(12):1344-1355. doi: 10.1038/s42256-023-00760-z. Epub 2023 Dec 18.
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and noninvasive 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 employed machine learning (ML) 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.
皮肤接口电子设备正通过实现对生理和生化信息的连续无创跟踪，逐渐改变医疗实践。随着大数据和数字医学的兴起，下一代电子皮肤（e-skin）将能够利用人工智能（AI）来优化其设计，并揭示用户个性化的健康状况。最近的多模态电子皮肤平台已经采用机器学习（ML）算法进行自主数据分析。不幸的是，目前缺乏适用于电子皮肤设备的人工智能协议和指南，导致模型过于复杂，简单应用得出的结论也无法重现。本综述旨在介绍电子皮肤硬件中的人工智能技术，并评估其在新型集成平台解决方案方面的潜力。我们概述了人工智能策略的最新突破及其在电子皮肤工程中的应用，以及对电子皮肤收集的健康信息的理解，强调了人工智能在机器人技术、假肢、虚拟现实和个性化医疗中的变革性应用。我们还讨论了人工智能驱动的电子皮肤面临的挑战和前景，以及对智能电子皮肤未来发展轨迹的预测。
