AI-Assisted Bioelectronics for Personalized Health Management

Huiwen Xiong; Changhao Dai; Xuting Chen; Jilie Kong; Dacheng Wei; Xueen Fang; Wenhao Weng

doi:10.1002/aelm.202500744

AI-Assisted Bioelectronics for Personalized Health Management

Huiwen Xiong (Co-first Author), Changhao Dai^* (Co-first Author), Xuting Chen, Jilie Kong, Dacheng Wei^*, Xueen Fang^*, Wenhao Weng^*

^*Corresponding author for this work

Department of Biomedical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Abstract

Personalized health management aims to promote, maintain, and restore the health of individuals. Despite the ever-lasting research efforts involved in personalized healthcare bioelectronics, current healthcare platforms still face barriers such as costly facilities, specialized operations, and resource-limited applications. Therefore, personalized and user-friendly healthcare bioelectronics are urgently needed. Among emerging solutions, the integration of artificial intelligence (AI) and advanced bioelectronics is a pivotal approach that merges intelligent algorithms with multi-functional healthcare design. This review summarizes the latest advances in AI-assisted bioelectronics, aiming to provide a possible strategy for personalized healthcare applications. Initially, a brief survey is provided to discuss the material design, device fabrication, AI-hardware integration, and performance assessment of AI-assisted bioelectronics. The subsequent contents focus on the implementation of AI-assisted healthcare bioelectronics across health monitoring, early diagnosis, therapeutic treatment, and rehabilitation. Finally, we discuss the current challenges and prospective future developments in closed-loop healthcare bioelectronics, ultimately empowering individuals with control over their own health. © 2026 The Author(s). Advanced Electronic Materials published by Wiley-VCH GmbH.

Original language	English
Article number	e00744
Number of pages	26
Journal	Advanced Electronic Materials
Volume	12
Issue number	3
Online published	12 Jan 2026
DOIs	https://doi.org/10.1002/aelm.202500744
Publication status	Published - 4 Feb 2026

Funding

This project was supported by the National Natural Science Foundation of China (Nos. 8247114871, 22374029 and 22174024), Shanghai Scientific and Technological Innovation Action Plan (Nos. 23ZR1403200, 22S31901900), and Natural Science Foundation of Shanghai (No. 24ZR1459800).

Research Keywords

artificial intelligence
bioelectronics
diagnostics
healthcare
theranostics

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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AU - Xiong, Huiwen

AU - Dai, Changhao

AU - Chen, Xuting

AU - Kong, Jilie

AU - Wei, Dacheng

AU - Fang, Xueen

AU - Weng, Wenhao

PY - 2026/2/4

Y1 - 2026/2/4

N2 - Personalized health management aims to promote, maintain, and restore the health of individuals. Despite the ever-lasting research efforts involved in personalized healthcare bioelectronics, current healthcare platforms still face barriers such as costly facilities, specialized operations, and resource-limited applications. Therefore, personalized and user-friendly healthcare bioelectronics are urgently needed. Among emerging solutions, the integration of artificial intelligence (AI) and advanced bioelectronics is a pivotal approach that merges intelligent algorithms with multi-functional healthcare design. This review summarizes the latest advances in AI-assisted bioelectronics, aiming to provide a possible strategy for personalized healthcare applications. Initially, a brief survey is provided to discuss the material design, device fabrication, AI-hardware integration, and performance assessment of AI-assisted bioelectronics. The subsequent contents focus on the implementation of AI-assisted healthcare bioelectronics across health monitoring, early diagnosis, therapeutic treatment, and rehabilitation. Finally, we discuss the current challenges and prospective future developments in closed-loop healthcare bioelectronics, ultimately empowering individuals with control over their own health. © 2026 The Author(s). Advanced Electronic Materials published by Wiley-VCH GmbH.

AB - Personalized health management aims to promote, maintain, and restore the health of individuals. Despite the ever-lasting research efforts involved in personalized healthcare bioelectronics, current healthcare platforms still face barriers such as costly facilities, specialized operations, and resource-limited applications. Therefore, personalized and user-friendly healthcare bioelectronics are urgently needed. Among emerging solutions, the integration of artificial intelligence (AI) and advanced bioelectronics is a pivotal approach that merges intelligent algorithms with multi-functional healthcare design. This review summarizes the latest advances in AI-assisted bioelectronics, aiming to provide a possible strategy for personalized healthcare applications. Initially, a brief survey is provided to discuss the material design, device fabrication, AI-hardware integration, and performance assessment of AI-assisted bioelectronics. The subsequent contents focus on the implementation of AI-assisted healthcare bioelectronics across health monitoring, early diagnosis, therapeutic treatment, and rehabilitation. Finally, we discuss the current challenges and prospective future developments in closed-loop healthcare bioelectronics, ultimately empowering individuals with control over their own health. © 2026 The Author(s). Advanced Electronic Materials published by Wiley-VCH GmbH.

KW - artificial intelligence

KW - bioelectronics

KW - diagnostics

KW - healthcare

KW - theranostics

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001659226800001

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M3 - RGC 21 - Publication in refereed journal

SN - 2199-160X

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JO - Advanced Electronic Materials

JF - Advanced Electronic Materials

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ER -

AI-Assisted Bioelectronics for Personalized Health Management

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Research Keywords

Publisher's Copyright Statement

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