Role of Artificial Intelligence and Machine Learning for Enabling IoT-Enabled Healthcare Systems

Abstract

The Internet of Things (IoT) and artificial intelligence (AI) technologies are a natural match for future expansion. IoT uses the internet to link everything in the globe. IoT devices have limitless information in chips and sensors since there are many linked devices, which means there is a lot of data that can be used to empower individuals in all facets of their life. The significant amount of data created by IoT devices is too much for even humans and computer algorithms to analyse and analyse. Algorithms for machine learning and artificial intelligence so aid in controlling them. The functional answer to controlling the numerous linked IoT components is provided by AI. Learning capabilities and limitless data processing that are produced by IoT devices are the crucial concern. The businesses are employing machine learning (ML), a potent branch of artificial intelligence (AI), to solve this problem. The smart systems give an accurate forecast for applying ML to IoT data. IoT AI applications help businesses reduce unscheduled downtime, create new services and products, run more efficiently, and manage risk better. In healthcare, smart homes, autonomous cars, agriculture, and marketing, this combination is mostly employed. This survey study addresses healthcare applications based on artificial intelligence (AI) and the internet of things (IoT) in these numerous applications. Additionally, it presents a review of several IoT AI algorithms for early illness prediction in the medical field.