Research on the Application and Development of Robotics Technology in Smart Healthcare

Authors

  • Jia Gao
  • Jiaqi Qiu
  • Liyue Wu

DOI:

https://doi.org/10.54691/8chk4j48

Keywords:

Medical Robots; Intelligent Healthcare; Clinical Applications; Rehabilitation Robots; Practical Applications.

Abstract

With the rapid development of artificial intelligence and automation technologies, medical robots have become an important component of the intelligent healthcare system. Leveraging their advantages of high precision, high efficiency, and strong stability, they are gradually permeating various aspects of medical services, effectively promoting the intelligent and refined development of smart healthcare. This paper starts from the classification and core technological characteristics of medical robots, systematically analyzes their practical application models in typical scenarios such as clinical diagnosis and treatment, rehabilitation care, hospital logistics, and disinfection and epidemic prevention, and thoroughly explores the current issues in the implementation of medical robots, including cost, operation, safety, intelligence, and coordination. Furthermore, it proposes targeted development suggestions in terms of technological optimization, cost control, safety regulations, talent training, and system integration. Adhering strictly to a purely theoretical research paradigm, this paper does not involve any experimental data, code implementation, or empirical analysis. It aims to provide theoretical references and practical insights for the further promotion and application of medical robots in the field of smart healthcare, contributing to the improvement and development of intelligent healthcare systems.

Downloads

Download data is not yet available.

References

[1] Zhang, L., Wang, H., Li, Y., et al. Smart Healthcare: Current Status, Challenges and Future Trends. Journal of Medical Systems. 2022, Vol. 46 (No. 5), p. 32-41.

[2] Topol, E. J. High-Performance Medicine: The Convergence of Human and Artificial Intelligence. Nature Medicine. 2019, Vol. 25 (No. 1), p. 44-56.

[3] Taylor, R. H., Menciassi, A., Fichtinger, G., et al. Medical Robotics and Computer-Integrated Surgery. Springer Handbook of Robotics. Springer, 2016, p. 1657-1684.

[4] Olawade, D. B., Odujoko, A. O., Aderinto, N., et al. Robotic Surgery in Healthcare: Current Challenges, Technological Advances, and Global Implementation Prospects. Journal of Robotic Surgery. 2025, Vol. 19 (No. 1), p. 577.

[5] Dupont, P. E., Nelson, B. J., Goldfarb, M., et al. A Decade Retrospective of Medical Robotics Research. Science Robotics. 2021, Vol. 6 (No. 60), p. 1-12.

[6] Yang, G. Z., Cambias, J., Cleary, K., et al. Medical Robotics-Regulatory, Ethical, and Legal Considerations for Increasing Levels of Autonomy. Science Robotics. 2017, Vol. 2 (No. 4), p. 1-8.

[7] Dupont, P. E., Nelson, B. J., Goldfarb, M., et al. A Decade Retrospective of Medical Robotics Research. Science Robotics. 2021, Vol. 6 (No. 60), p. 1-12.

[8] Wah, J. N. K. Revolutionizing Surgery: AI and Robotics for Precision, Risk Reduction, and Innovation. Journal of Robotic Surgery. 2025, Vol. 19 (No. 1), p. 47.

[9] Reinkensmeyer, D. J., Burdet, E., Casadio, M., et al. Robotics and Rehabilitation: A Review of Recent Advances. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020, Vol. 28 (No. 12), p. 2671-2683.

[10] Hockstein, N. G., Gourin, C. G., Faust, R. A., et al. A History of Robots: From Science Fiction to Surgical Robotics. Journal of Robotic Surgery. 2007, Vol. 1 (No. 2), p. 113-118.

[11] Wang, L., Zhang, Y., Chen, X., et al. Application Status and Development Trends of Medical Robots in Smart Hospitals. Chinese Journal of Medical Devices. 2023, Vol. 47 (No. 3), p. 245-252.

[12] Krebs, H. I., Hogan, N., Aisen, M. L., et al. Robot-Aided Neurorehabilitation. IEEE Transactions on Rehabilitation Engineering. 1998, Vol. 6 (No. 1), p. 75-87.

[13] Kwoh, Y. S., Hou, J., Jonckheere, E. A., et al. A Robot with Improved Absolute Positioning Accuracy for CT Guided Stereotactic Brain Surgery. IEEE Transactions on Biomedical Engineering. 1988, Vol. 35 (No. 2), p. 153-160.

[14] Lanfranco, A. R., Castellanos, A. E., Desai, J. P., et al. Robotic Surgery: A Current Perspective. Annals of Surgery. 2004, Vol. 239 (No. 1), p. 14-21.

[15] Lo, H. S., Xie, S. Q. Exoskeleton Robots for Upper-Limb Rehabilitation: A State of the Art Review. Medical Engineering & Physics. 2012, Vol. 34 (No. 3), p. 261-268.

[16] Alanazi, F., Gaffar, A., & Eulenstein, O. Healthcare Robotics Across Home and Hospital Settings: Innovations, Challenges, and Future Prospects. PeerJ Computer Science. 2026, Vol. 12, p. e3659.

[17] Barbash, G. I., Glied, S. A. New Technology and Health Care Costs-The Case of Robot-Assisted Surgery. New England Journal of Medicine. 2010, Vol. 363 (No. 8), p. 701-704.

[18] Panch, T., Mattie, H., Celi, L. A. The "Inconvenient Truth" About AI in Healthcare. NPJ Digital Medicine. 2019, Vol. 2 (No. 1), p. 1-3.

[19] Jiang, F., Jiang, Y., Zhi, H., et al. Artificial Intelligence in Healthcare: Past, Present and Future. Stroke and Vascular Neurology. 2017, Vol. 2 (No. 4), p. 230-243.

[20] Kelly, C. J., Karthikesalingam, A., Suleyman, M., et al. Key Challenges for Delivering Clinical Impact with Artificial Intelligence. BMC Medicine. 2019, Vol. 17 (No. 1), p. 195.

Downloads

Published

22-04-2026

Issue

Section

Articles

How to Cite

Gao, J., Qiu, J., & Wu, L. (2026). Research on the Application and Development of Robotics Technology in Smart Healthcare. Frontiers in Sustainable Development, 6(4), 34-44. https://doi.org/10.54691/8chk4j48