Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Aug 28, 2025
Date Accepted: Apr 20, 2026
Smart Bioelectronics in Digital Healthcare: Computational Insights from a Topic Modeling Study (2020–2024)
ABSTRACT
Background:
Smart Bioelectronics is an electronic medical device that combines hardware and AI-based software. It is a convergence medical device that analyzes bio signals measured through hardware using AI algorithms and applies physical stimulation based on these to enhance therapeutic effects.
Objective:
This study aims to systematically analyze recent research trends in smart bioelectronics to understand their evolving role in digital healthcare and to provide evidence-based insights for shaping future R&D strategies.
Methods:
A total of 46 reviewed papers were retrieved from PubMed using the keyword “smart bioelectronics” published between 2020 and 2024. LDA-based topic modeling with coherence score optimization was conducted to identify latent research themes.
Results:
The analysis results indicate a sharp growth in publications over the past five years, with research themes evolving from basic muscle stimulation technologies toward bio-adaptive therapeutics and precision medicine. This transition reflects a paradigm shift in digital healthcare, emphasizing personalized treatment, real-time biosignal monitoring, and AI-driven therapeutic feedback. The main research topics include exercise/rehabilitation and infection control (34.6%), cell and gene-level electronic drugs (29%), skin-attached sensors and control technology (19.1%), and wearable sensor-based respiratory electronic drugs (17.3%).
Conclusions:
By mapping the evolving landscape of smart bioelectronics, this study offers valuable insights into its multidisciplinary development trends and highlights potential applications for clinical decision support, personalized rehabilitation, and next-generation medical device innovation.
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Copyright
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