A Comprehensive Review of Disease Prediction Using Internet of Things and Artificial Intelligence

A Ali Mir Arif Asif Ali

Abstract

This review article examines the remarkable impact of combining the Internet of Things (IoT) and Artificial Intelligence (AI) on illness prediction and diagnosis. Through the application of AI's profound cognitive abilities and IoT's ongoing data collection, the integrated approach improves symptomatic precision and speed, providing comprehensive insights into patient health. The study looks into high-level AI techniques, such as deep learning and machine learning that are used to process and analyze medical data. It also looks at how these techniques are applied to medical imaging and disease prediction. In today technologically advanced world, it also tackles the challenges and ethical considerations surrounding information security and protection. This convergence of IoT and AI promises to revolutionize healthcare by opening up new avenues for precise and pro-active medicinal interventions.

Article Details

Volume / Issue Vol. 10, Issue 04
Published May 30, 2024
Pages 654-666
ISSN 2349-7009
Publisher AM Publications

Journal Info

International Journal of Innovative Research in Information Security

AM Publications

ISSN: 2349-7009 Open Access Information Technology

Authors (1)

A

Ali Mir Arif Asif Ali