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This research paper delves into the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in revolutionizing disease diagnosis within smart healthcare systems. AI, a cornerstone in computer science, is now pivotal in healthcare, offering sophisticated algorithms for analyzing medical data, thus aiding in decision-making and predictions. IoT extends this capability by enabling continuous data collection through web-enabled devices, including wearables and implanted sensors. The integration of AI and IoT in smart healthcare systems not only refines medical procedures but also enhances patient experiences and operational workflows. This paper explores how AI-driven routines in conjunction with IoT data streams facilitate rapid and accurate disease diagnosis, surpassing traditional methods often limited by human biases. The adoption of these technologies in healthcare promises to improve diagnostic accuracy, expedite processes, and broaden access to medical expertise, especially in remote areas. However, challenges such as ensuring data privacy, security, and ethical use of AI remain paramount.
Patel et al. (2024) studied this question.