## 6 Conclusions  
In conclusion, an enhanced with artificial intelligence and haptic feedback robotic surgery model for the better and quicker discovery of patients' complications has been \begin{table}
\begin{tabular}{c c c c} \hline \hline
**QoS** & **Haptics** & **Video** & **Audio** \\ \hline Jitter (ms) & \(\leq\)2 & \(\leq\)30 & \(\leq\)30 \\ \hline Delay (ms) & \(\leq\)50 & \(\leq\)400 & \(\leq\)150 \\ \hline Data Rate (Kbps) & 512–1024 & 2500–40,000 & 64–128 \\ \hline Packet Loss (\%) & \(\leq\)10 & \(\leq\)1 & \(\leq\)1 \\ \hline Update Rate (Hz) & \(\geq\)1000 & \(\geq\)30 & \(\geq\)50 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Network requirements. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Sensor** & **Specs** & **Bandwidth** \\ \hline Cameras & 2\(\times\), 640\(\times\)480, 30 fps, 8/24 bit & 147–441 Mbps uncompressed \\ \hline Microphones & 2\(\times\), 44 kHz, 16 bit & 1.4 Mbps \\ \hline Tactile sensors & 4000\(\times\), 50 Hz, 8 bit & 1.6 Mbps \\ \hline \multirow{2}{*}{Control commands} & 53 DoF \(\times\) 2–4 commands, 100 & \\  & Hz/1 kHz, 16 bit & 170 Kbps \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Requirements for sensors and signals. proposed. The proposed model is based on the novel technologies of VR, AR, AI, and haptics, providing multiple advantages both to the doctors and to the patients. With the use of such technologies, our proposed approach offers multiple advantages to the medical staff, opening new horizons both in the prevention and treatment of various diseases and in robotic surgery. Thanks to these immersive technologies, surgeons' work can be easier and better with great dexterity, enhanced precision, and real-time visual feedback. In this way, the doctors can have improved 3D imaging health data using haptics on a computer that depicts the clinical results of the patients. On the other hand, the patients enjoy better and quicker medical results with reduced pain and discomfort. The recovery time is reduced significantly, and thus patients can leave the hospital sooner and return back to their normal activities. Moreover, the precise actions of the robotics lead to smaller incisions, resulting in reduced risk of infection and reduced blood loss. Additionally, 5G enables resource gathering of skilled medical professionals via ultra-reliable and high-performance telemedicine, using the Tactile Internet with haptic feedback. AI improves the system as it gives the opportunity to become independent from human interaction. The integration of these technologies allows examining and healing patients without the existence of physical contact between doctors and patients. This could be proved as a helpful solution for humanity in cases of an epidemic or pandemic. In the upcoming years, when 5G technology is completely finalized, it will introduce unique e-health applications, while enabling an ad hoc composition of healthcare facilities and services by incorporating patients, medical staff, and social workers through its ubiquitous access services. Finally, the use of haptic interfaces to support telemedicine applications is a very promising open research field. Thus, the deployment of an application where a doctor and a patient are not in the same place could become widely useful. In addition, personalized health consultation will turn out to be available through the advancements in Big Data and Cloud Computing. Furthermore, everyday behaviors and activities of individuals, involving remote health analysis, could be managed by Machine Learning algorithms in order to produce an accurate diagnosis. In this way, the overall healthcare industry paves the route to a very prosperous future, thereby benefiting humanity. Thus, an investment in equipment and upfront development may produce multiple healthcare industry benefits. The introduction of emerging technologies in healthcare may sound complex and costly, but the harvest of the potential advantages will compensate for all these difficulties. Conceptualization, G.M.M., V.A.M., K.D.S. and C.L.S.