Artificial intelligence−powered electrochemical sensor: Recent advances, challenges, and prospects
Universiti Tenaga Nasional · National University of Malaysia
Abstract
Integrating artificial intelligence (AI) with electrochemical biosensors is revolutionizing medical treatments by enhancing patient data collection and enabling the development of advanced wearable sensors for health, fitness, and environmental monitoring. Electrochemical biosensors, which detect biomarkers through electrochemical processes, are significantly more effective. The integration of artificial intelligence is adept at identifying, categorizing, characterizing, and projecting intricate data patterns. As the Internet of Things (IoT), big data, and big health technologies move from theory to practice, AI-powered biosensors offer significant opportunities for real-time disease detection and personalized…
Citation impact
- FWCI
- 21.75
- Percentile
- 100%
- References
- 106
Authors
4Topics & keywords
- Nanotechnology
- Engineering
- Data science
- Computer science
- Systems engineering
- Materials science