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Advancements in AI and Blockchain on Healthcare for Diabetes Management

Author(s) S. Sandeep Babu, K. Spandhana, Mahek Thakur, T. Akshaya
Country India
Abstract Diabetes is one of the most prevalent and challenging chronic diseases worldwide, affecting millions of people and requiring continuous monitoring, early diagnosis, and proper management of patient health data. Managing diabetes effectively is not only about monitoring blood glucose levels but also about ensuring that patient medical information is stored safely and accessible to healthcare professionals when required. Recent advancements in Artificial Intelligence (AI) and Blockchain technologies have opened new opportunities for building smarter and more efficient healthcare systems that support better diabetes management. Artificial Intelligence techniques such as Machine Learning and Deep Learning enable accurate prediction of glucose levels, early identification of potential complications, and development of personalized treatment recommendations by analyzing large volumes of medical data and detecting hidden patterns beyond traditional methods. At the same time, Blockchain technology provides a secure and decentralized approach for storing patient medical records, ensuring that data remains tamper-proof, transparent, and accessible only to authorized stakeholders such as doctors, hospitals, and healthcare providers. This research proposes an integrated AI and Blockchain-based healthcare framework designed for intelligent diabetes monitoring and management, where health- related data is collected from wearable sensors, electronic health records, and mobile health applications. AI models analyze the collected data to predict disease risks, detect ab- normal patterns, and assist healthcare professionals in making better medical decisions, while blockchain ensures secure data sharing and transparency between patients, doctors, and health- care institutions. Overall, the proposed system improves real-time monitoring, predictive analysis, data security, and patient privacy while enhancing trust, reliability, and interoperability in modern digital healthcare ecosystems.
Keywords Artificial Intelligence, Blockchain, Diabetes Prediction, Machine Learning, Healthcare Security, IoT Health Monitoring.
Field Engineering
Published In Volume 7, Issue 4, April 2026
Published On 2026-04-06
DOI https://doi.org/10.70528/IJLRP.v7.i4.2083
Short DOI https://doi.org/hbv76r
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