The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives
Indexed incrossrefpubmed
Abstract
Integrating artificial intelligence (AI) into biosensor technology enables data processing, quantitative analysis, real-time decision-making, and adaptive sensing capabilities through advanced pattern recognition and predictive modeling. In addition, AI has the potential to drive innovation in the design of advanced materials for biosensing applications by reducing the reliance on trial-and-error methods. This review explores the transformative impact of AI on biosensor technology in the context of historical development, current status, and future prospects. It begins with an overview of the evolution of AI, biosensor technology, and their integration. Comparative analysis of AI-driven innovations in optical,…
Citation impact
95
total citations
- FWCI
- 58.54
- Percentile
- 100%
- References
- 224
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Biosensor
- Context (archaeology)
- Nanotechnology
- Computer science
- Transformative learning
- Materials science
- Artificial intelligence
- Biology
UN Sustainable Development Goals
- Zero hunger
No related works found for this paper.