AI‐Assisted Bioelectronics for Personalized Health Management

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.

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Publication Details

Journal
Advanced Electronic Materials
Published
2026-01-12
DOI
https://doi.org/10.1002/aelm.202500744
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

AI‐Assisted Bioelectronics for Personalized Health Management

Jilie Kong, Xuting Chen, Changhao Dai, Xueen Fang et al.
Advanced Electronic Materials
Advanced Sensor and Energy Harvesting Materials
article

AI‐Assisted Bioelectronics for Personalized Health Management

Jilie Kong, Xuting Chen, Changhao Dai, Xueen Fang, Wenhao Weng, Huiwen Xiong, Dacheng Wei
article en

Abstract

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.

Advanced Electronic MaterialsVol. 12(3)
City University of Hong Kong (HK), Fudan University (CN), XinHua Hospital (CN), Shanghai Children's Hospital (CN)
Openalex Percentile: Top 91%
Advanced Sensor and Energy Harvesting Materials
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AI‐Assisted Bioelectronics for Personalized Health Management — Jilie Kong, Xuting Chen, et al. · Advanced Electronic Materials (2026) | TGRS Research Map | TGRS