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vaccine development, sample testing, logistics, etc., require           robots in the healthcare sector,” Robotics, vol. 10, no. 1,
some levels of automated instruments and controls.                      p. 47, 2021.

    In general, robots in the post-pandemic environment are        [2] R. Maity, R. Mishra, and P. K. Pattnaik, “A review of
predicted to become increasingly autonomous, versatile, and             flying robot applications in healthcare,” Smart Healthc.
cooperative. Future studies are expected to focus on the fol-           Anal. State Art, pp. 103–111, 2022.
lowing technologies to advance research on robotics during
and after pandemic eras:                                           [3] S. Matsumoto, S. Moharana, N. Devanagondi, L. C.
                                                                        Oyama, and L. D. Riek, “Iris: A low-cost telemedicine
A. Wireless sensor network:                                             robot to support healthcare safety and equity during a
   In addition to potential problems, the literature lacks sig-         pandemic,” in International Conference on Pervasive
                                                                        Computing Technologies for Healthcare, pp. 113–133,
nificant research on monitoring the robots’ environment. It             2022.
is essential to monitor the environment and work conditions,
such as air quality, patient temperature, and other factors, and   [4] I. S. A. Alfurati and A. T. Rashid, “design and imple-
to activate the robot process accordingly. Effective communi-           mentation of an indoor robot positioning system using
cation and connectivity can be established by connecting the            led array and ldr sensor,” Journal of Engineering Science
wireless sensor network to the 5G network.                              and Technology, vol. 16, no. 2, April 2021.

B. Artificial Intelligence (AI):                                   [5] D. Sharma, A. Z. B. Nawab, and M. Alam, “Integrating
   It is expected that AI will soon influence every sector of           m-health with iomt to counter covid-19 in computational
                                                                        intelligence methods in covid-19: Surveillance, preven-
life, from domestic applications to automated robot-assisted            tion, prediction and diagnosis,” Springer, pp. 373–396,
medical providers. It is suggested that robot applications be           2021.
integrated with AI technology to achieve intelligence and
adaptability in a complicated working environment [47]. AI         [6] Z. H. Khan, A. Siddique, and C. W. Lee, “Robotics
algorithms will be crucial in fields such as image processing,          utilization for healthcare digitization in global covid-
data analytics, and decision-making.                                    19 management,” Int. J. Environ. Res. Public Health,
                                                                        vol. 17, no. 11, p. 3819, 2020.
                    V. DISCUSSION
                                                                   [7] Z. Zeng, P.-J. Chen, and A. A. Lew, “From high-touch
   Around the world, numerous R&D initiatives have been                 to high-tech: Covid-19 drives robotics adoption,” Tour.
made to produce cutting-edge technologies and clinical ap-              Geogr., vol. 22, no. 3, pp. 724–734, 2020.
plications for medical robotic and computer-assisted systems.
The research activities entail a broad range of clinical prob-     [8] I. S. A. Alfurati, B. A. Issa, O. T. Rashid, and A. T.
lems. The current study defines the concept of service robots           Rashid, “Design and construction a falling water digi-
and examines the challenges to their adoption and reliability.          tal display system,” International Journal of Computer
Following that, a description of cutting-edge applications in           Applications, p. 975, 2019.
healthcare systems is given, with an emphasis on emerging
disease prevention. Furthermore, the proposed research is          [9] A. J. Hung, J. Chen, Z. Che, T. Nilanon, A. Jarc, M. Ti-
limited to medical robots and focused entirely on the topic             tus, P. J. Oh, I. S. Gill, and Y. Liu, “Utilizing machine
indicated in the majority of papers. The limitation of this             learning and automated performance metrics to evaluate
research is that it failed to provide a comprehensive perspec-          robot-assisted radical prostatectomy performance and
tive by including other types of medical robots, such as those          predict outcomes,” J. Endourol, vol. 32, no. 5, pp. 438–
that assist in drug prescription and administration, delivery of        444, 2018.
medical supplies, sanitation, and clinical management.
                                                                  [10] A. Amin, A. Vartanian, N. Poladian, A. Voloshko,
              CONFLICT OF INTEREST                                      A. Yegiazaryan, A. L. Al-Kassir, and V. Venketaraman,
                                                                        “Root causes of fungal coinfections in covid-19 infected
   The authors have no conflict of relevant interest to this            patients,” Infect. Dis. Rep., vol. 13, no. 4, pp. 1018–1035,
article.                                                                2021.

                     REFERENCES                                   [11] S. Kim, J. Kim, F. Badu-Baiden, M. Giroux, and Y. Choi,
                                                                        “Preference for robot service or human service in hotels
 [1] J. Holland, L. Kingston, C. McCarthy, E. Armstrong,                impacts of the covid-19 pandemic,” Int. J. Hosp. Manag.,
      P. O. Dwyer, F. Merz, and M. McConnell, “Service                  vol. 93, p. 102795, 2021.
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