炎症性肠病的可穿戴技术:现状和未来方向。

Expert review of medical devices Pub Date : 2025-01-01 Epub Date: 2025-01-15 DOI:10.1080/17434440.2025.2453561
Sidharth Harindranath, Devendra Desai
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引用次数: 0

摘要

简介:可穿戴设备是穿戴在身体上收集健康数据的电子设备。这些设备,如智能手表和补丁,使用传感器收集各种健康参数的信息。这篇综述强调了可穿戴技术在炎症性肠病(IBD)患者中的当前使用和潜在益处。涵盖领域:在这篇综述中,我们探讨了目前可穿戴技术在医疗保健中的应用以及将该技术应用于IBD患者的研究。我们还讨论了在当前临床范例中使用数字健康数据和可穿戴技术的局限性,并预测了如何合理有效地应用该技术改善IBD患者护理的前进道路。使用PubMed、MEDLINE、EMBASE和Scopus数据库对所有合适的研究进行了全面的检索,检索时间从成立到2024年8月。专家意见:目前,可穿戴技术应用于IBD的监测和耀斑的预测,使用设备和传感器。未来的应用包括使用生物传感器的早期疾病检测、通过可消化设备的高级数据收集、肠道微生物组监测以及与机器学习的集成。通过实现早期诊断、个性化治疗和改善患者预后,这些进步有望彻底改变疾病管理,包括IBD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wearable technology in inflammatory bowel disease: current state and future direction.

Introduction: Wearables are electronic devices worn on the body to collect health data. These devices, like smartwatches and patches, use sensors to gather information on various health parameters. This review highlights the current use and the potential benefit of wearable technology in patients with inflammatory bowel disease (IBD).

Areas covered: In this review, we explore the current use of wearable technology in healthcare and the studies applying this technology in patients with IBD. We also discuss the limitations of using digital health data in general and wearable technology in particular in the current clinical paradigm and predict a path forward in how to rationally and effectively apply this technology to improve the care of patients with IBD. A comprehensive search of all suitable studies was conducted using the databases of PubMed, MEDLINE, Embase, and Scopus from inception to August 2024.

Expert opinion: Currently, wearable technology is applied to the monitoring of IBD and prediction of flares using devices and sensors. Future applications include early disease detection using biosensors, advanced data collection through ingestible devices, gut microbiome monitoring, and integration with machine learning. These advancements promise to revolutionize disease management, including IBD, by enabling early diagnosis, personalized treatment, and improved patient outcomes.

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