Robotics is a branch of engineering that deals with the design, construction, operation and application of robots to perform some physical tasks on behalf of human beings with varying degrees of autonomy. Generally, robots are used to perform jobs that are highly repetitive or have a high risk towards human’s life. This article seeks to critically examine various classifications of robots used in the healthcare industry and their specific applications. This paper looks at advances made in the field of artificial intelligence (AI) and robotics mainly focusing on notable progress by key players like IBM Watson and Google’s DeepMind. The study explores robotic applications in different medical setups such as surgical operations, telemedicine, rehabilitation, radiation, telepresence, socially useful activities, and pharmacy services. Besides that, this article discusses how potentially imaging nurse robots, cleaning robot and delivery/transporting robot can change health care sector in future. The article underscores the need for more research and development efforts to enhance comprehension of the functionalities and potential uses of robots within the healthcare sector.
Keywords
Surgical Robots, Rehabilitation and Mobility Robots, Radiotherapy Robots, Telepresence Robots, Interventional Robots, Socially Assistive Robots, Disinfection Robots, Delivery, Transport Robots.
E. Rudnicka, P. Napierała, A. Podfigurna, B. Męczekalski, R. Smolarczyk, and M. Grymowicz, “The World Health Organization (WHO) approach to healthy ageing,” Maturitas, vol. 139, pp. 6–11, Sep. 2020, doi: 10.1016/j.maturitas.2020.05.018.
F. F. Petiwala, V. K. Shukla, and S. Vyas, “IBM Watson: Redefining Artificial Intelligence through Cognitive Computing,” in Algorithms for intelligent systems, 2021, pp. 173–185. doi: 10.1007/978-981-33-4087-9_15.
N. Hockstein, C. G. Gourin, R. A. Faust, and D. J. Terris, “A history of robots: from science fiction to surgical robotics,” Journal of Robotic Surgery, vol. 1, no. 2, pp. 113–118, Mar. 2007, doi: 10.1007/s11701-007-0021-2.
V. Ambros, “America Relocated: Karel Čapek’s Robots between Prague, Berlin, and New York,” in Palgrave Macmillan UK eBooks, 2009, pp. 134–157. doi: 10.1057/9780230250703_7.
T. Blair, Biomedical textiles for orthopaedic and surgical applications: Fundamentals, Applications and Tissue Engineering. Elsevier, 2015.
O. Boubaker, “Medical robotics,” in Elsevier eBooks, 2020, pp. 153–204. doi: 10.1016/b978-0-12-821350-6.00007-x.
S. Trimpe and J. Buchli, “Event-based estimation and control for remote robot operation with reduced communication,” 2015 IEEE International Conference on Robotics and Automation (ICRA), May 2015, doi: 10.1109/icra.2015.7139897.
T. Habuza et al., “AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine,” Informatics in Medicine Unlocked, vol. 24, p. 100596, Jan. 2021, doi: 10.1016/j.imu.2021.100596.
R. E. Hope-Simpson, The transmission of epidemic influenza. Springer Science & Business Media, 2013.
M. Tarsilla, “Cochrane Handbook for Systematic Reviews of Interventions,” in Wiley eBooks, 2019. doi: 10.1002/9781119536604.
B. Capili and J. K. Anastasi, “Cohort studies,” American Journal of Nursing, vol. 121, no. 12, pp. 45–48, Dec. 2021, doi: 10.1097/01.naj.0000803196.49507.08.
C. Li, T. Zhang, H. Wang, Z. Hou, Y. Zhang, and W. Chen, “Advanced surgical tool: Progress in clinical application of intelligent surgical robot,” Smart Medicine, vol. 1, no. 1, Dec. 2022, doi: 10.1002/smmd.20220021.
J. J. Palazzolo, M. Ferraro, H. I. Krebs, D. J. Lynch, B. T. Volpe, and N. Hogan, “Stochastic estimation of arm mechanical impedance during robotic stroke rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 1, pp. 94–103, Mar. 2007, doi: 10.1109/tnsre.2007.891392.
J. A. Saglia, C. Sanfilippo, and S. Ungaro, “Movendo Technology: A Technology transfer case study based on the product Hunova,” in Biosystems & biorobotics, 2019, pp. 8–11. doi: 10.1007/978-3-030-24074-5_2.
D.-H. Bang and Y.-H. Lee, “Effects of robot-assisted gait training on spatiotemporal gait parameters and balance in patients with chronic stroke: A randomized controlled pilot trial,” NeuroRehabilitation, vol. 38, no. 4, pp. 343–349, Jun. 2016, doi: 10.3233/nre-161325.
R. L. Siegel, K. D. Miller, H. Fuchs, and A. Jemal, “Cancer statistics, 2022,” CA: A Cancer Journal for Clinicians, vol. 72, no. 1, pp. 7–33, Jan. 2022, doi: 10.3322/caac.21708.
M. Mondini, A. Lévy, L. Meziani, F. Milliat, and É. Deutsch, “Radiotherapy–immunotherapy combinations – perspectives and challenges,” Molecular Oncology, vol. 14, no. 7, pp. 1529–1537, Mar. 2020, doi: 10.1002/1878-0261.12658.
S. Mazzoleni et al., “Biomechanical assessment of reaching movements in Post-Stroke patients during a Robot-Aided rehabilitation,” Applied Bionics and Biomechanics, vol. 8, no. 1, pp. 39–54, Jan. 2011, doi: 10.1155/2011/298926.
W. Bal, B. Łabuz-Roszak, R. Tarnawski, and A. Lasek–Bal, “Effectiveness and safety of CyberKnife radiosurgery in treatment of trigeminalgia — experiences of Polish neurological and oncological centres,” Neurologia I Neurochirurgia Polska, vol. 54, no. 1, pp. 28–32, Feb. 2020, doi: 10.5603/pjnns.a2020.0009.
J. Klodmann et al., “An Introduction to Robotically Assisted Surgical Systems: current developments and focus areas of research,” Current Robotics Reports, vol. 2, no. 3, pp. 321–332, Aug. 2021, doi: 10.1007/s43154-021-00064-3.
K. Jia, J. Qi, A. Liu, and L. Wu, “Remote magnetic navigation versus manual control navigation for atrial fibrillation ablation: A systematic review and meta-analysis,” Journal of Electrocardiology, vol. 55, pp. 78–86, Jul. 2019, doi: 10.1016/j.jelectrocard.2019.05.001.
P. A. L. Tonino et al., “Fractional Flow Reserve versus Angiography for Guiding Percutaneous Coronary Intervention,” The New England Journal of Medicine, vol. 360, no. 3, pp. 213–224, Jan. 2009, doi: 10.1056/nejmoa0807611.
W. C. Cockerham, G. Lueschen, G. Kunz, and J. L. Spaeth, “Social Stratification and Self-Management of Health,” Journal of Health and Social Behavior, vol. 27, no. 1, p. 1, Mar. 1986, doi: 10.2307/2136499.
A. A. Morgan, J. Abdi, M. a. Q. Syed, G. E. Kohen, P. Barlow, and M. P. Vizcaychipi, “Robots in Healthcare: a Scoping Review,” Current Robotics Reports, vol. 3, no. 4, pp. 271–280, Oct. 2022, doi: 10.1007/s43154-022-00095-4.
T. Iwamoto, T. Morikawa, M. Hioki, H. Sudo, D. Paolucci, and M. Okuda, “Performance evaluation of the compounding robot, APOTECAchemo, for injectable anticancer drugs in a Japanese hospital,” Journal of Pharmaceutical Health Care and Sciences, vol. 3, no. 1, Apr. 2017, doi: 10.1186/s40780-017-0081-z.
F. Astrid, B. Zatorska, V. D. N. Miriam, J. Ebner, E. Presterl, and M. D.-E. Schahawi, “The use of a UV-C disinfection robot in the routine cleaning process: a field study in an Academic hospital,” Antimicrobial Resistance and Infection Control, vol. 10, no. 1, May 2021, doi: 10.1186/s13756-021-00945-4.
S. Park, R. G. Mistrick, and D. Rim, “Performance of upper-room ultraviolet germicidal irradiation (UVGI) system in learning environments: Effects of ventilation rate, UV fluence rate, and UV radiating volume,” Sustainable Cities and Society, vol. 85, p. 104048, Oct. 2022, doi: 10.1016/j.scs.2022.104048.
C. Cadena et al., “Past, present, and future of simultaneous localization and mapping: toward the Robust-Perception age,” IEEE Transactions on Robotics, vol. 32, no. 6, pp. 1309–1332, Dec. 2016, doi: 10.1109/tro.2016.2624754.
I. Mehta, H.-Y. Hsueh, N. Kourtzanidis, M. Brylka, and S. Saeedi, “Far-UVC Disinfection with Robotic Mobile Manipulator,” 2022 International Symposium on Medical Robotics (ISMR), Apr. 2022, doi: 10.1109/ismr48347.2022.9807593.
S. J. Dancer and M. King, “Systematic review on use, cost and clinical efficacy of automated decontamination devices,” Antimicrobial Resistance and Infection Control, vol. 10, no. 1, Feb. 2021, doi: 10.1186/s13756-021-00894-y.
D. Jennings and M. Figliozzi, “Study of sidewalk autonomous delivery robots and their potential impacts on freight efficiency and travel,” Transportation Research Record, vol. 2673, no. 6, pp. 317–326, May 2019, doi: 10.1177/0361198119849398.
S. Srinivas, S. Ramachandiran, and S. Rajendran, “Autonomous robot-driven deliveries: A review of recent developments and future directions,” Transportation Research Part E: Logistics and Transportation Review, vol. 165, p. 102834, Sep. 2022, doi: 10.1016/j.tre.2022.102834.
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Elmangory Sanusi
Elmangory Sanusi
Faculty of Computer Science, International University of Africa, Madani St, Khartoum 12223, Sudan.
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Cite this article
Elmangory Sanusi, “A Review of Identity and Roles of Robotics in the Healthcare Industry”, Journal of Robotics Spectrum, vol.1, pp. 144-154, 2023. doi: 10.53759/9852/JRS202301014.
