Decentralized AI for Medical Emergency Response Using Blockchain and Computer Vision
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Abstract
This paper explores the integration of blockchain, artificial intelligence (AI), and the Internet of Things (IoT) to revolutionize healthcare data management, storage, access, and analysis, aiming to enhance data security, diagnostic accuracy, and healthcare accessibility. By leveraging blockchain’s decentralized and immutable nature, AI’s diagnostic capabilities, and IoT’s real-time monitoring, the study highlights how these technologies can address challenges exposed during the COVID-19 pandemic, such as data breaches, supply chain integrity, and remote patient care. The research emphasizes the potential of these innovations to improve emergency response, optimize clinical workflows, and ensure patient privacy while overcoming technical, security, and ethical hurdles. Through frameworks like decentralized emergency intelligence (D-EI) and blockchain-protected medical imaging systems, the study demonstrates the transformative impact of these technologies on healthcare efficiency and patient outcomes. Future directions focus on enhancing interoperability, scalability, and regulatory compliance to fully realize their potential in global healthcare systems.
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