Exploring AI and IoT Synergy in Healthcare: Present Applications and Future Directions
Keywords:
: Artificial Intelligence, Internet of Things, Healthcare Technology, Remote Monitoring, Medical Diagnostics, Digital Health, Machine LearningAbstract
The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) technologies has revolutionized healthcare delivery, creating unprecedented opportunities for improved patient outcomes, operational efficiency, and personalized medicine. This comprehensive review examines the current state of AI-IoT integration in healthcare systems, analyzing applications ranging from remote patient monitoring to predictive analytics and automated diagnostics. Through systematic analysis of 150+ research papers published between 2018-2024, this study identifies key technological advancements including machine learning algorithms for medical image analysis, IoT-enabled wearable devices for continuous health monitoring, and AI-driven decision support systems. The review reveals significant challenges including data privacy concerns, interoperability issues, regulatory compliance, and the digital divide affecting healthcare accessibility. Security vulnerabilities in IoT devices and the need for robust AI explainability in clinical settings emerge as critical concerns. Future opportunities include the development of federated learning frameworks, edge computing solutions for real-time processing, and blockchain-based secure data sharing mechanisms. The paper synthesizes current research trends, identifies gaps in existing literature, and proposes a roadmap for sustainable AI-IoT healthcare integration.
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