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Artificial intelligence-powered electrochemical sensor: Recent advances, challenges, and prospects
Siti Nur Ashakirin Binti Mohd Nashruddin1, Faridah Hani Mohamed Salleh1, Rozan Mohamad Yunus2
1Institute of Informatics and Computing in Energy (IICE), Department of Computing, College of Computing & Informatics, Universiti Tenaga Nasional, 43000, Kajang, Selangor Darul Ehsan, Malaysia.
Artificial intelligence (AI) integrated with electrochemical biosensors enhances health monitoring and disease detection. This AI-powered biosensor technology promises personalized healthcare and improved patient outcomes, despite challenges like data privacy.
Area of Science:
- Biomedical Engineering
- Artificial Intelligence
- Sensor Technology
Background:
- Electrochemical biosensors detect biomarkers via electrochemical processes, offering enhanced effectiveness.
- Artificial intelligence excels at identifying and analyzing complex data patterns from biosensors.
- The convergence of IoT, big data, and AI in healthcare enables real-time disease detection.
Purpose of the Study:
- To highlight critical advances in AI-integrated electrochemical biosensors for next-generation wearable and implantable devices.
- To explore the potential of AI-powered biosensors in personalized healthcare and real-time disease detection.
- To address challenges associated with AI in biosensor systems, including data privacy and algorithmic bias.
Main Methods:
- Review of material innovation and biorecognition elements in biosensor development.
- Analysis of signal transduction and data processing techniques for AI integration.
- Examination of intelligent decision systems for advanced biosensor applications.
Main Results:
- AI integration significantly improves the capabilities of electrochemical biosensors.
- AI-powered biosensors offer substantial opportunities for real-time disease detection and personalized healthcare.
- Advances in materials, biorecognition, signal processing, and intelligent systems are crucial for next-generation devices.
Conclusions:
- AI-powered biosensors represent a transformative step forward in healthcare technology.
- Despite challenges, AI integration in biosensors shows immense promise for early detection and improved patient outcomes.
- Future medical devices will leverage AI for enhanced diagnostics and personalized patient care.
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