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Internet of Things (IoT) systems may now generate data at a dizzying rate, thanks to the proliferation of sensors and smart gadgets. To enable diverse IoT services and functions, IoT systems often process, transform, and analyze huge volumes of data. Data analytics using Machine Learning (ML) techniques have proven effective for the Internet of Things (IoT). There is a huge need for skilled data scientists because there are still numerous obstacles to overcome when applying ML models to data analytics jobs related to the Internet of Things (IoT), such as successful model selection, design/tuning, and updating.In this paper, we extend the potential of AI-enabled IoT healthcare to theorize how AI and IoT can make preventative public health services more accessible and help us move from a reactive to a proactive, continuous, and coordinated system of secondary and tertiary healthcare. The Internet of Things (IoT) and artificial intelligence (AI) also aid in achieving responsibility and satisfaction by encouraging patients to work more closely with their healthcare providers. On top of that, there are a lot of ways in which the Internet of Things (IoT) may improve healthcare delivery, including the ability to better anticipate health problems, diagnose them, treat them, and keep tabs on patients both inside and outside of hospitals. In this research, we use artificial intelligence and the internet of things to survey the healthcare industry's problems and potential solutions in a nutshell. It also gives a general idea of what artificial intelligence and the internet of things are, how they work, what the present trends are, what the future holds, and the difficulties faced by healthcare systems.
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