reviewAdvanced MaterialsJun 16, 2025HYBRID OA

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Izmir Kâtip Çelebi University

PubMed
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

5

Topics & keywords

Keywords
  • Biosensor
  • Context (archaeology)
  • Nanotechnology
  • Computer science
  • Transformative learning
  • Materials science
  • Artificial intelligence
  • Biology
UN Sustainable Development Goals
  • Zero hunger
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