# Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity
## 1 Introduction  
The history of human development has proven that healthcare applications have always been the main driving force behind the development of science and technology. Since ancient times, humanity has envisioned solutions to diagnosing and treating diseases from a distance. The advent of 5 th generation network technology, also known as 5G, enables the delivery of network services with ultra-high throughput and ultra-low latency. This has led to the Internet of Things concept and shaped emerging intelligent domains. Among these areas, healthcare and medicine are becoming some of the most crucial domains. In recent decades, electronic health information systems (e-health) have focused on developing and achieving many positive results. In the traditional architecture of e-health systems, computing, processing, and storage are located in the cloud. Its robustness, reliability, and powerful computing capacity make cloud computing (CC) the computing technology of the future [1, 2]. Although cloud computing has outstanding advantages, a significant limitation of CC is its high service response time. As a result, it is impossible to use in real-time healthcare applications. In recent times, to solve this problem, the integration of IoT technology and fog computing (FC) solutions [3] with edge computing (EC) [4] has been proposed. EC and FC technologies aim to bridge the gap between databases and end-users or bring cloud capabilities closer to users. As a result, FC and EC reduce service response times, energy consumption, and computational costs, and improve reliability. According to Statista's forecast, the IoT market is expected to reach USD 75 billion by 2025 [5]. Moreover, a survey by Vodafone shows that over 77% of people surveyed spend more on intelligent health. In addition, about 60% of people surveyed use IoT devices to monitor vital indicators such as blood pressure, heart rate, and blood sugar [6]. These issues show that healthcare focuses on IoT technology and real-time computing solutions. Telemedicine is one of the most significant medical applications in recent times based on IoT technology. Telemedicine can bridge the gap between rural and urban health. It provides low-cost consultation, remote examination, and diagnosis. As a result, Telemedicine can enable leading experts and doctors to reach the most remote areas and provide advanced medical services to everyone at a low cost. In other words, combining IoT technology and real-time computing solutions plays an essential role in the healthcare sector. There are many studies on the IoT, and advanced computing technologies have been proposed in the field of smart health. To clarify this matter, we conduct a short survey of studies that have been conducted during the period 2019-2022 on the aspects of computing methods, vision, architecture, challenges, and emerging technologies. We evaluated these aspects at three levels (High (H), Medium (M), and Low (L)), depending on the levels at which they are mentioned in each study. Thus, we searched for articles using keywords such as Intelligent Healthcare/Medicine, Smart Healthcare/Medicine, Computing Technologies, and Emerging Technologies in electronic databases such as IEEE Xplore, ACM, ScienceDirect, Springer, and MDPL. Then, we evaluated the search results using three-step processing. In the first step, the searching step, we identified 450 related works. In the second step, we removed duplicate and inappropriate papers, and the remaining number of articles was 220. In the final step, we discarded papers from low-reputation journals and conferences, resulting in 95 papers, as presented in the References section. Based on our survey results, we evaluated the studies based on criteria such as vision, architecture, challenges, and technology solutions, and outlined the key findings of each study. The details of the survey results are presented in Table 1.