Artificial intelligence

Abstract: With the rapid digitalization of healthcare and the growing use of artificial intelligence (AI) in diagnostic, prognostic, and decision-support systems, the protection of sensitive medical data is becoming a critical priority. This article introduces an improved model designed to safeguard medical information within blockchain-based AI systems, ensuring both robust cybersecurity and ethical data management. The proposed approach relies on a combination of randomized checkpoints and stochastic node confirmation, which together create a resilient mechanism against unauthorized access, data tampering, and single-point failures. Such a structure enhances transparency, decentralization, and traceability of data flows, all of which are essential for modern e-health ecosystems. By integrating blockchain technology with intelligent agents, smart contracts, and adaptive access-control policies, it becomes possible to automate and regulate the use of confidential medical records in a highly secure and ethically sound manner. Smart contracts can dynamically enforce patient consent, restrict operations according to predefined rules, and verify the integrity of AI-generated recommendations. At the same time, intelligent agents enable flexible interaction between AI modules, medical institutions, and secure storage layers, ensuring that data are accessed strictly on a need-to-know basis. Our approach makes a significant contribution to strengthening the cybersecurity of medical AI systems and offers an innovative technological foundation for developing reliable, transparent, and resilient e-health infrastructures in Ukraine. It also opens the door to scalable national platforms where medical data can be securely analyzed, shared, and utilized for improving healthcare outcomes while fully respecting patient privacy.

Keywords: blockchain, cybersecurity, artificial intelligence, medical data, e-health, decentralized systems

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