Authors :

Mohassel Leyla and Bayez Ismail

Address :

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Department of Software and Informatics Engineering, Salahaddin University, Erbil, KR, Iraq

Abstract :

The future holds enormous promise for solving significant healthcare problems, including data security, accurate diagnosis, and management of resources through the combination of blockchainbased technology, AI-assisted evaluations, and nano-digital health systems. This effort aims to establish a safe and effective electronic health system with blockchain technology to safeguard information and enhance AI-powered diagnostic procedures. Particle Swarm Optimisation (PSO) algorithm enhances system efficacy and allocates resources. Variational Encoder(VAE) computations are employed to predict illnesses, and the Hyperledger Fabric(HLF) generates a secure blockchain technology structure for transferring and storing healthcare information. These frameworks tightly analyse and process patient data, including outcomes of tests and essential signs. Lastly, incorporating blockchain technology, AI evaluations, and algorithmic optimisation establishes a safe and effective healthcare system that can offer accurate diagnoses and protect confidential patient information. Findings indicate that blockchain technology significantly lowers security risks along with illegal information availability, whereas the incorporation of AI enhances evaluation precision and effectiveness. Furthermore, the optimisation methods showed tangible gains in system functionality and speed of response.

Keywords :

Blockchain, AI Diagnostics, Particle Swarm Optimisation, Gradient Boosting, Hyperledger Fabric.