Technologies Evolution in Robot-assisted Fracture Reduction Systems: a Comprehensive Review

Overview

Journal Front Robot AI

Specialty Biomedical Engineering

Date 2023 Dec 11

PMID 38077454

Authors

Wei Kou

Peiqing Zhou

Jihong Lin

Shaolong Kuang

Lining Sun

Affiliations

Soon will be listed here.

Abstract

Robot-assisted fracture reduction systems can potentially reduce the risk of infection and improve outcomes, leading to significant health and economic benefits. However, these systems are still in the laboratory stage and not yet ready for commercialization due to unresolved difficulties. While previous reviews have focused on individual technologies, system composition, and surgical stages, a comprehensive review is necessary to assist future scholars in selecting appropriate research directions for clinical use. A literature review using Google Scholar identified articles on robot-assisted fracture reduction systems. A comprehensive search yielded 17,800, 18,100, and 16,700 results for "fracture reduction," "computer-assisted orthopedic surgery," and "robot-assisted fracture reduction," respectively. Approximately 340 articles were selected, and 90 highly relevant articles were chosen for further reading after reviewing the abstracts. Robot-assisted fracture reduction systems offer several benefits, including improved reduction accuracy, reduced physical work and radiation exposure, enhanced preoperative planning and intraoperative visualization, and shortened learning curve for skill acquisition. In the future, these systems will become integrated and practical, with automatic preoperative planning and high intraoperative safety.

Citing Articles

Computer-aided robotics for applications in fracture reduction surgery: Advances, challenges, and opportunities.

Zhou X, Chen Y, Miao G, Guo Y, Zhang Q, Bi J iScience. 2025; 28(1):111509.

PMID: 39811638 PMC: 11732504. DOI: 10.1016/j.isci.2024.111509.

Robot-assisted versus traditional surgery in the treatment of intertrochanteric fractures: a meta-analysis.

Shi J, Shen J, Zhang C, Guo W, Wang F J Robot Surg. 2024; 18(1):221.

PMID: 38780662 PMC: 11116270. DOI: 10.1007/s11701-024-01979-7.

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