Robotic-Assisted Surgery: State-of-the-Art Development, Clinical Challenges, and Future Directions

Ruiwen Zhu

2025

Abstract

Surgical robots, as an advanced integration of artificial intelligence, precision engineering, and biomedical technology, have gained widespread adoption in modern clinical practice. This paper provides a comprehensive review of the current advancements, challenges, and future trends in surgical robotics across multiple specialties, including laparoscopic, orthopedic, neurosurgical, cardiovascular interventional, and puncture robots. While robotic systems have demonstrated superior precision, minimal invasiveness, and improved clinical outcomes compared to traditional methods, significant challenges remain, such as high costs, limited haptic feedback, and technical complexities in certain procedures. For instance, the Da Vinci system has revolutionized minimally invasive surgery but faces economic sustainability issues. Future directions emphasize AI-enhanced preoperative planning, multi-modal imaging fusion, miniaturization, and 5G-enabled remote surgery, which promise to further refine robotic precision, expand accessibility, and optimize surgical workflows. By analyzing these developments, this paper aims to offer valuable insights for researchers and industry stakeholders, facilitating the evolution of surgical robotics toward greater intelligence, affordability, and clinical efficacy.

Paper Citation

in Harvard Style

Zhu R. (2025). Robotic-Assisted Surgery: State-of-the-Art Development, Clinical Challenges, and Future Directions. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 565-573. DOI: 10.5220/0014362900004718

in Bibtex Style

@conference{emiti25,
author={Ruiwen Zhu},
title={Robotic-Assisted Surgery: State-of-the-Art Development, Clinical Challenges, and Future Directions},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={565-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014362900004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Robotic-Assisted Surgery: State-of-the-Art Development, Clinical Challenges, and Future Directions
SN - 978-989-758-792-4
AU - Zhu R.
PY - 2025
SP - 565
EP - 573
DO - 10.5220/0014362900004718
PB - SciTePress