# Smart Healthcare Applications over 5G Networks: A Systematic Review
## 3 Results and Discussion
### Healthcare Benefits
#### 3.2.1 IoMT Devices  
The medical applications presented in Section 3.1 are associated with the use of IoMT devices that allow one to provide patients with services such as monitoring, telemedicine, and even telesurgery. The use of body sensors, wearable devices, software, and communication interfaces, make up the well-known IoMT [4]. It is a technology that allows managing health by reducing costs and improving productivity, quality of service, and the patient's experience. In order to know the IoMT technologies that are behind the presented systems, an analysis and classification of each one was generated, thereby establishing five groups: body sensors, artificial intelligence, teleoperated robots, ultra high definition cameras, and wearable devices. The percentages of studies related to the types of devices that smart healthcare systems manage are shown in Figure 10. \begin{table}
\begin{tabular}{l l} \hline \hline
**Healthcare Benefits** & **Article** \\ \hline Constant attention and immediate with intelligent systems & [17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 35, 42, 44, 48, 49, 50, 52, 55, 56, 57, 60] \\ Specialized medical care in remote areas & [27, 29, 30, 34, 36, 37, 38, 39, 40, 41, 45, 46, 47, 53, 54, 56, 58, 59] \\ Immediate emergency assistance & [19, 31, 43] \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Summary of articles according to the healthcare benefits. Figure 9: Healthcare benefits. In general, the classification is similar to that presented by [PERSON] et al. [61], although their analysis emphasizes the use of body sensors and wearable devices. Our analysis focuses on the type of technology--sensors, devices, or algorithms. The following is a summary of the main ideas of the types of technology classified in each category. Figure 10 shows that body sensors were used in 40.91% of the studies. This is related to the fact that in most continuous monitoring systems, the use of a WBSN [19] is beneficial for the collection of physiological signals. These IoMT devices are oriented to the performance of a specific activity, unlike wearable devices that can perform various tasks. For example, a smartwatch shows the time and at the same time can measure the oxygen saturation level thanks to an SpO2 sensor, which is integrated internally. In addition, the sensors not only collect physiological signals from the body, but also capture voice and image signals [22]. The integration of AI is useful in diagnosing, predicting, and monitoring patients remotely. Generally, this technology is used in continuous monitoring, so that systems estimate results without the need for human intervention. The use of this technology makes an intelligent system and improves the ability to provide sanitary attention, so that it is within people's reach. Systems that integrate AI mostly use ML algorithms for labeling and classification of data [28] and medical images [39]. This is essential due to the limitations of the algorithms. In this aspect, our research reflects a contribution of 25.00% (\(n=11\)) of systems using AI for the development of optimal sanitary systems. Another type of IoMT device used in the systems presented in Section 3.1 is the teleoperated robot, to which, 20.45% (\(n=9\)) of the research is related. They are generally employed in remote surgery and diagnostic systems for performing surgical operations and US examinations thanks to their utility and efficiency. In other words, the integration of such robots in telesurgery is considered a broad field [30] in intelligent systems for healthcare. Generally, these robots are manipulated by a surgeon remotely, making use of a control panel [29] or a console [36]. One of the teleoperated robots presented by [PERSON] et al. [29] contains two arms or manipulators (right and left) that control equipment, and a main manipulator that controls an endoscope. \"Microhand\", presented by [PERSON] et al.