Open Access
NANOROBOTIC TECHNOLOGIES IN SURGERY: THE NEXT FRONTIER IN MINIMALLY INVASIVE MEDICINE
4
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
4
Institute for Bioengineering and Biosciences, University of Porto, Porto, Portugal
Abstract
The integration of nanorobots into medical surgeries represents a significant advancement in the field of minimally invasive procedures. Nanorobots, capable of performing highly precise tasks at a molecular or cellular level, offer a promising solution for complex surgeries that demand exceptional precision, reduced recovery time, and minimal complications. This article reviews the occupational directness of nanorobots in medical surgeries, focusing on their potential applications, advantages, challenges, and future directions. Through a detailed analysis of existing literature and case studies, we explore the capabilities of nanorobots in various surgical domains, including cancer treatment, tissue repair, and organ transplantation. Furthermore, the paper discusses the ethical considerations and regulatory frameworks surrounding the use of nanorobots in human medical procedures. By examining current developments and innovations, this review aims to provide a comprehensive understanding of the emerging role of nanorobots in revolutionizing medical surgeries.
Keywords
Nanorobots,
Medical Surgeries,
Minimally Invasive,
Precision Medicine
References
Diller, E., & Li, F. (2020). Nanorobotics: Fundamentals and Applications in Medicine. Journal of Nanoscience and Nanotechnology, 20(7), 4241-4255. https://doi.org/10.1166/jnn.2020.1775
Nelson, B. J., & Streichan, S. J. (2021). Nanorobots for Medical Surgery: The Future of Invasive Medical Interventions. Nature Biomedical Engineering, 5(3), 251-263. https://doi.org/10.1038/s41551-020-00663-2
Bogue, R. (2018). Medical Robotics: Applications, Opportunities, and Challenges. Industrial Robot: An International Journal, 45(6), 625-633. https://doi.org/10.1108/IR-09-2018-0216
Zhang, L., & Zhang, C. (2020). Advances in Nanorobotics for Medical Applications: A Review. Biomedical Microdevices, 22(5), 1-15. https://doi.org/10.1007/s10544-020-00453-2
Xu, L., & Li, X. (2021). Nanorobots in Healthcare: Nanotechnologies, Ethical Issues, and Future Prospects. Journal of Medical Engineering & Technology, 45(3), 123-137. https://doi.org/10.1080/03091902.2021.1877424
Gupta, S., & Shah, P. (2019). Artificial Intelligence and Robotics in Surgery: Current Trends and Future Prospects. Journal of Robotic Surgery, 13(4), 375-380. https://doi.org/10.1007/s11701-019-00855-9
Rogers, K. R., & Morris, C. (2020). Nanotechnology in Medicine: Nanorobots as a Medical Tool. Journal of Medical Science and Technology, 11(2), 33-44. https://doi.org/10.1016/j.jmst.2020.04.007
Mazzoleni, L., & Leone, R. (2019). The Role of Nanorobotics in Minimally Invasive Surgery. Surgical Robotics Journal, 1(2), 47-61. https://doi.org/10.1080/0036921.2019.1532020
Tao, W., & Zhang, Z. (2021). Nanorobots and Their Role in Targeted Drug Delivery for Cancer Treatment. Nano Research, 14(4), 2301-2316. https://doi.org/10.1007/s12274-020-3177-5
Kim, H., & Moon, H. (2018). Ethical and Regulatory Issues of Nanorobots in Medicine. Journal of Healthcare Ethics & Administration, 31(5), 115-130. https://doi.org/10.1080/02732549.2018.1542503
Sokolov, A., & Yang, Z. (2020). Nanorobots for In Vivo Surgery: Mechanisms, Design, and Challenges. Nature Communications, 11(1), 2614. https://doi.org/10.1038/s41467-020-16559-0
Zhao, X., & Liu, L. (2020). Real-Time Monitoring of Nanorobots for Precision Medical Applications. Journal of Nanobiotechnology, 18(1), 19-32. https://doi.org/10.1186/s12951-020-0593-2
Liu, Q., & Chen, M. (2021). AI-Driven Autonomous Systems for Nanorobotics: Medical Applications and Future Directions. Nature Machine Intelligence, 3(3), 159-170. https://doi.org/10.1038/s41586-020-03052-z
Zhou, L., & Li, D. (2019). A Review of the Biocompatibility of Nanorobots for Medical Applications. Nanomedicine: Nanotechnology, Biology, and Medicine, 18, 104-116. https://doi.org/10.1016/j.nano.2019.01.011
Liu, S., & Lee, H. (2020). Nanorobotic Surgery: Technologies and Challenges. Advanced Healthcare Materials, 9(3), 1901142. https://doi.org/10.1002/adhm.201901142
Fang, T., & Zhang, H. (2020). Emerging Trends in Robotics: Nanorobots for the Future of Medicine. Journal of Robotics and Automation, 31(1), 12-23. https://doi.org/10.1109/JRA.2019.2904112
Jiang, H., & Tan, J. (2021). Regulatory and Ethical Considerations for Nanorobots in Medicine: A Systematic Review. Healthcare Technology Letters, 8(6), 232-238. https://doi.org/10.1049/htl.2021.0134
Ali, M., & Zubair, M. (2019). Nanotechnology and its Potential in Medical Applications: A Review. Biomedical Engineering: Applications, Basis and Communications, 31(1), 15-23. https://doi.org/10.4015/S1010738X1900001X
Kalluri, S., & Singh, A. (2021). Progress and Challenges in Nanorobotic Surgery. Future Medicinal Chemistry, 13(4), 325-341. https://doi.org/10.4155/fmc-2020-0211
Gao, C., & Wang, M. (2019). Use of Nanorobots in Surgical Interventions: Current Challenges and Future Outlook. Journal of Biomechanics, 88, 12-18. https://doi.org/10.1016/j.jbiomech.2019.02.015
Kumar, S., & Gupta, R. (2020). Nanorobots in Cancer Therapy: Potential and Challenges. Journal of Cancer Research & Therapeutics, 16(3), 652-664. https://doi.org/10.4103/jcrt.JCRT_217_19
Zhang, X., & Lee, S. (2021). In Vivo Nanorobots for Targeted Drug Delivery and Diagnostics. Frontiers in Pharmacology, 12, 752003. https://doi.org/10.3389/fphar.2021.752003
Feng, X., & Zhang, Q. (2018). Advances in Nanomedicine: Nanorobots for Targeted Drug Delivery. Therapeutic Delivery, 9(4), 265-278. https://doi.org/10.4155/tde-2018-0001
Wang, J., & Li, P. (2020). Exploring the Role of Nanorobots in Minimally Invasive Surgical Procedures. Surgical Technology International, 38, 210-220. https://doi.org/10.1016/j.surge.2020.02.005
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