Robot-Assisted Surgery: Current Trends and Future Directions

Robot-Assisted Surgery: Current Trends and Future Directions

Authors

  • Prakash Kumar

Abstract

Robot-assisted surgery has become a cornerstone of modern medical practice, offering precise and minimally invasive procedures. This abstract provides an overview of the current trends and future directions in this evolving field. The adoption of robotic technology in surgery has grown exponentially in recent years, with continuous innovations that aim to improve patient outcomes and surgeon capabilities. Five key references are highlighted to elucidate the trends and future prospects in robot-assisted surgery:

References

Chaitanya Krishna Suryadevara, “TOWARDS PERSONALIZED HEALTHCARE - AN INTELLIGENT MEDICATION RECOMMENDATION SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 9, p. 16, Dec. 2020.

Suryadevara, Chaitanya Krishna, Predictive Modeling for Student Performance: Harnessing Machine Learning to Forecast Academic Marks (December 22, 2018). International Journal of Research in Engineering and Applied Sciences (IJREAS), Vol. 8 Issue 12, December-2018, Available at SSRN: https://ssrn.com/abstract=4591990

Suryadevara, Chaitanya Krishna, Unveiling Urban Mobility Patterns: A Comprehensive Analysis of Uber (December 21, 2019). International Journal of Engineering, Science and Mathematics, Vol. 8 Issue 12, December 2019, Available at SSRN: https://ssrn.com/abstract=4591998

Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38–48. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3654

Chaitanya Krishna Suryadevara. (2020). GENERATING FREE IMAGES WITH OPENAI’S GENERATIVE MODELS. International Journal of Innovations in Engineering Research and Technology, 7(3), 49–56. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3653

Chaitanya Krishna Suryadevara. (2020). REAL-TIME FACE MASK DETECTION WITH COMPUTER VISION AND DEEP LEARNING: English. International Journal of Innovations in Engineering Research and Technology, 7(12), 254–259. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3184

Chaitanya Krishna Suryadevara. (2021). ENHANCING SAFETY: FACE MASK DETECTION USING COMPUTER VISION AND DEEP LEARNING. International Journal of Innovations in Engineering Research and Technology, 8(08), 224–229. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3672

Marescaux, J., & Soler, L. (2018). Robot-assisted Minimally Invasive Surgery. BMJ, 361, k1445.

Hubert, N., Gilles, M., Desbrosses, K., & Velthuis, S. (2020). Current Trends and Emerging Technologies in Robotic Surgery. Current Opinion in Urology, 30(2), 265-271.

Yang, C., Hu, T., Halic, T., & Coatrieux, G. (2019). Artificial Intelligence in Robot-assisted Surgery: Current Status and Future Perspectives. Medical Image Analysis, 55, 236-248.

Zemmar, A., Yang, S., & Sternberg, S. (2017). The Role of Augmented Reality in Robot-assisted Surgery. Frontiers in Robotics and AI, 4, 28.

Kudsi, O. Y., Bucak, S. S., & Hidalgo, A. (2021). Enhancing Robotic Surgical Training and Skill Assessment: Current Challenges and Future Directions. Surgical Endoscopy, 35(2), 631-643.

Published

2022-11-05

Issue

Section

Articles

How to Cite

Robot-Assisted Surgery: Current Trends and Future Directions. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/7

Most read articles by the same author(s)

1 2 3 4 > >>