Integrating Artificial Intelligence and Blockchain for Reliable Early Disease Diagnosis

Abstract

The early detection of human diseases plays a vital role in improving treatment effectiveness and reducing healthcare costs. Recent advancements in Artificial Intelligence (AI) and Blockchain technologies provide new opportunities to enhance traditional diagnostic systems. AI techniques such as machine learning and deep learning enable efficient analysis of healthcare datasets, allowing accurate prediction of diseases at early stages. At the same time, blockchain-inspired mechanisms ensure secure, transparent, and tamper-proof handling of sensitive healthcare data. By integrating AI-based predictive models with secure data handling approaches, the proposed system provides a reliable and efficient framework for disease prediction. This work demonstrates a simulation-based system that combines intelligent prediction with secure data management, highlighting the potential of modern technologies in building next-generation healthcare solutions.