Artificial Intelligence-Driven Wireless Sensing for Health Management Article Swipe

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Merih Deniz Toruner , V. Shi , John Sollee , Wen-Chi Hsu , Gwo-Jeng Yu , Yong Dai , Christian A. Merlo , Karthik Suresh , Zhicheng Jiao , Xuyu Wang , Shiwen Mao , Harrison X. Bai ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.3390/bioengineering12030244

(1) Background: With technological advancements, the integration of wireless sensing and artificial intelligence (AI) has significant potential for real-time monitoring and intervention. Wireless sensing devices have been applied to various medical areas for early diagnosis, monitoring, and treatment response. This review focuses on the latest advancements in wireless, AI-incorporated methods applied to clinical medicine. (2) Methods: We conducted a comprehensive search in PubMed, IEEEXplore, Embase, and Scopus for articles that describe AI-incorporated wireless sensing devices for clinical applications. We analyzed the strengths and limitations within their respective medical domains, highlighting the value of wireless sensing in precision medicine, and synthesized the literature to provide areas for future work. (3) Results: We identified 10,691 articles and selected 34 that met our inclusion criteria, focusing on real-world validation of wireless sensing. The findings indicate that these technologies demonstrate significant potential in improving diagnosis, treatment monitoring, and disease prevention. Notably, the use of acoustic signals, channel state information, and radar emerged as leading techniques, showing promising results in detecting physiological changes without invasive procedures. (4) Conclusions: This review highlights the role of wireless sensing in clinical care and suggests a growing trend towards integrating these technologies into routine healthcare, particularly patient monitoring and diagnostic support.

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Wireless Computer science Health care Medicine Telecommunications Economic growth Economics

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Type: review
Language: en
Landing Page: https://doi.org/10.3390/bioengineering12030244
PDF: https://www.mdpi.com/2306-5354/12/3/244/pdf?version=1740674171
OA Status: gold
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4408037525

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OpenAlex ID: https://openalex.org/W4408037525

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DOI: https://doi.org/10.3390/bioengineering12030244

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Title: Artificial Intelligence-Driven Wireless Sensing for Health Management

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Type: review

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Language: en

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Publication year: 2025

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Publication date: 2025-02-27

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Authors: Merih Deniz Toruner, V. Shi, John Sollee, Wen-Chi Hsu, Gwo-Jeng Yu, Yong Dai, Christian A. Merlo, Karthik Suresh, Zhicheng Jiao, Xuyu Wang, Shiwen Mao, Harrison X. Bai

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Landing page: https://doi.org/10.3390/bioengineering12030244

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Concepts: Wireless, Computer science, Health care, Medicine, Telecommunications, Economic growth, Economics

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Cited by: 1

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Citations by year (recent): 2025: 1

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