AI‐Assisted Bioelectronics for Personalized Health Management

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Authors: Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng
Cited by: 1
References: 160

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.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials ECG Monitoring and Analysis Wireless Body Area Networks

Publication details

Journal / source
Advanced Electronic Materials
Publisher
Wiley
Volume
12
Issue
3
Publication date
12 January 2026
Language
EN