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Advancing Healthcare With AI-Enhanced Point-of-Care Biosensor Devices: Smart Biosensing Platforms Empowered by AI for Rapid and Decentralized Diagnostics
Abstract
This chapter examines the integration of artificial intelligence (AI) with point-of-care (PoC) biosensor technologies, emphasizing their role in enhancing diagnostic accuracy, automation, and accessibility. It explores the core components of biosensors and how AI-driven algorithms improve sensitivity, specificity, and real-time data interpretation. Applications in wearable and non-invasive biosensors, chronic disease management, infectious disease detection, and personalized health monitoring are discussed. The chapter presents real-world case studies involving microfluidic biosensors, lab-on-a-chip systems, and AI-based signal processing tools. It also addresses key challenges such as data privacy, regulatory compliance, and model interpretability. By highlighting current capabilities and future directions—including multi-omics integration and predictive analytics—this chapter offers a comprehensive overview of how AI-enhanced biosensors are transforming modern healthcare.
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