Application of Robotics in the Healthcare Industry

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Machine Intelligence and Data Science Applications

Abstract

Robots have made their presence everywhere because of their uncounted advantages. Health care is a field that faced a lot of challenges in reducing the huge gap between those in need of services and those who receive services. With the technological advancement, healthcare and automobile sectors are benefitting the most by adopting advanced robotics. In health care, robotic surgery brings precision with minimal invasion and the use of miniaturized surgical instruments on patients. Having this technology, surgeons can perform various complex surgeries like cardiac, urological, kidney, and many more with ease by assisting robots. This paper provides research and analysis on surgical and non-surgical robots by highlighting their evolution, design along with its uses, and limitations of robots in medicine, and health care. This term paper also focuses on various scopes and development of robotics in the healthcare sector with an immense number of outcomes and conclusions.

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References

  1. Butter M, Rensma A, van Boxsel J, Kalisingh S, Schoone M et al (2008) Robotics for healthcare—final report. European Commission, DG Information Society, Brussels, p 12

    Google Scholar 

  2. Alfalahi H, Renda F, Stefanini C (2020) Concentric tube robots for minimally invasive surgery: current applications and future opportunities. IEEE Trans Med Robot Bionics 2(3):410–424. https://doi.org/10.1109/TMRB.2020.3000899

    Article  Google Scholar 

  3. Jovanovic K et al (2021) Digital innovation hubs in health-care robotics fighting COVID-19: novel support for patients and health-care workers across Europe. IEEE Robot Autom Mag 28(1):40–47. https://doi.org/10.1109/MRA.2020.3044965

    Article  Google Scholar 

  4. Kwoh YS, Hou J, Jonckheere EA, Hayati S (1988) A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans Biomed Eng 35:153–160

    Article  Google Scholar 

  5. Khan ZH, Siddique A, Lee CW (2020) Robotics utilization for healthcare digital in covid management. Int J Environ Res Public Health 17

    Google Scholar 

  6. Scutti S (2015) Medical robots are not just the future of healthcare, but part of the present. 2pp

    Google Scholar 

  7. Tuffield P, Elias H (2003) The shadow robot mimics human actions. Ind Robot 30:56–60

    Article  Google Scholar 

  8. Azeta J, Bolu C, Abioye AA, Oyawale FA (2017) A review on humanoid robotics in healthcare 33:88–96

    Google Scholar 

  9. Narang S, Nalwa T, Choudhury T, Kashyap N (2018) An efficient method for security measurement in internet of things. In: International conference on communication, computing and Internet of Things (IC3IoT), pp 319–323. https://doi.org/10.1109/IC3IoT.2018.8668159

  10. Tomar R, Sastry HG, Prateek M (2020) A V2I based approach to multicast in vehicular networks. Malays J Comput Sci 93–107. Retrieved from https://jupidi.um.edu.my/index.php/MJCS/article/view/27337

  11. Yang GZ et al (2020) Combating COVID-19—the role of robotics in managing public health and infectious diseases. Sci Robot 5:eabb5589

    Google Scholar 

  12. Kwon T, An K, Banik PP, Kim K (2019) Wearable visual-MIMO for healthcare applications. In: 1st International conference on advances in science, engineering and robotics technology (ICASERT), pp 1–4. https://doi.org/10.1109/ICASERT.2019.8934600

  13. Panzirsch M, Weber B, Rubio L, Coloma S, Ferre M, Artigas J (2017)Tele-healthcare with humanoid robots: a user study on the evaluation of force feedback effects. In: IEEE world haptics conference (WHC), pp 245–250.https://doi.org/10.1109/WHC.2017.7989909

  14. Haidegger T (2018) The next generation of robots in the operating room—surgical robotics 4.0. In: IEEE 16th world symposium on applied machine intelligence and informatics (SAMI), pp 000013–000013. https://doi.org/10.1109/SAMI.2018.8324841

  15. Mohanta B, Das P, Patnaik S (2019) Healthcare 5.0: a paradigm shift in digital healthcare system using artificial Intelligence, IOT and 5G Communication. In: International conference on applied machine learning (ICAML), pp 191–196. https://doi.org/10.1109/ICAML48257.2019.00044

  16. Yang G et al (2020) Homecare robotic systems for healthcare 4.0: visions and enabling technologies. IEEE J Biomed Health Inform 24(9):2535–2549. https://doi.org/10.1109/JBHI.2020.2990529

    Article  Google Scholar 

  17. Mohd F, Elanie Mustafah NI (2021) “Hello, Dr.”: A healthcare mobile application. In: 4th International symposium on agents, multi-agent systems and robotics (ISAMSR), pp 20–23.https://doi.org/10.1109/ISAMSR53229.2021.9567764

  18. Chitalia Y, Jeong S, Yamamoto KK, Chern JJ, Desai JP (2021) Modeling and control of a 2-DoF meso-scale continuum robotic tool for pediatric neurosurgery. IEEE Trans Rob 37(2):520–531. https://doi.org/10.1109/TRO.2020.3031270

    Article  Google Scholar 

  19. Dhamija J, Choudhury T, Kumar P, Rathore YS (2017) An advancement towards efficient face recognition using live video feed: “for the future”. In: 3rd International conference on computational intelligence and networks (CINE), pp 53–56. https://doi.org/10.1109/CINE.2017.21

  20. Kimmig R, Verheijen RHM, Rudnicki M (2020) Robot assisted surgery during the COVID-19 pandemic, especially for gynecological cancer: a statement of the Society of European Robotic Gynecological Surgery (SERGS). J Gynecol Oncol 31:e59 (2020). Chang C, Murphy RR (2007) Towards robot-assisted mass-casualty triage. In: IEEE international conference networking, sensing and control. IEEE

    Google Scholar 

  21. Kraft K, Chu T, Hansen P, Smart WD (2016) Real-time contamination modeling for robotic health care support. In: IEEE International conference on intelligent robots and systems. IEEE

    Google Scholar 

  22. Jain S, Sharma S, Tomar R (2019) Integration of wit API with python coded terminal bot. In: Abraham A, Dutta P, Mandal J, Bhattacharya A, Dutta S (eds) Emerging technologies in data mining and information security. Advances in intelligent systems and computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_34

  23. der Loos V, Machiel HF, Ullrich N, Kobayashi H (2003) Development of sensate and robotic bed technologies for vital signs monitoring and sleep quality improvement. Auton Robots 15:67–79

    Google Scholar 

  24. Anderson J (1999) Image guided robotic assisted percutaneous interventions. J Vasc Interv Radiol 10(suppl):198–201

    Article  Google Scholar 

  25. Wall J, Chandra V, Krummel T (2008) Robotics in general surgery, medical robotics. Tech Publications, pp 491–506

    Google Scholar 

  26. Taylor RH (2006) A perspective on medical robotics. IEEE Proc 94:1652–1664

    Article  Google Scholar 

  27. Chen AI, Balter ML, Maguire TJ, Yarmush ML (2020) Deep learning robotic guidance for autonomous vascular access. Nat Mach Intell 2:104–115

    Article  Google Scholar 

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Correspondence to Soumya Suvra Khan .

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**dal, V., Narayan Singh, S., Suvra Khan, S. (2022). Application of Robotics in the Healthcare Industry. In: Skala, V., Singh, T.P., Choudhury, T., Tomar, R., Abul Bashar, M. (eds) Machine Intelligence and Data Science Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-19-2347-0_42

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