Published Paper Details:

Blockchain technology is transforming the healthcare sector by offering safe, decentralized, and transparent data management solutions. The growing dependence on digital medical records, AI-based diagnostics, and interoperability among healthcare providers has heightened the necessity for stringent data security and privacy safeguards.[1] Blockchain guarantees immutable storage of medical data, mitigating the danger of data breaches, unauthorized alterations, and fraudulent actions. This article explores the disruptive impact of blockchain on disease detection, highlighting its integration with artificial intelligence (AI) and machine learning (ML) for early and precise diagnosis. Blockchain improves data integrity by utilizing decentralized ledgers, guarantees real-time access to verified medical records, and enables secure exchange across hospitals, research institutes, and patients. We investigate the uses of blockchain in early disease detection, namely in diagnosing severe health diseases such as cardiovascular disease, diabetes, renal disorders, and hepatic malignancies. AI-driven medical imaging and predictive models, integrated with blockchain technology, facilitate a more dependable, efficient, and privacy-conscious healthcare system. Additionally, we examine the potential obstacles, emerging trends, and future research avenues regarding the implementation of blockchain in the healthcare sector, facilitating a more secure, transparent, and AI-enhanced medical environment.