Rebuilding the pelvis: advances in robotic-assisted management of complex pelvic fractures
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. Traditional open reduction and internal fixation (ORIF) improves stability but is complicated by excessive blood loss, longer operative time, and morbidity. Robotic-assisted surgical methods, i.e. Robot-Assisted Fracture Reduction (RAFR) and the TiRobot platform, provide a paradigm shift toward precise, minimally invasive fracture reduction and fixation. The RAFR system blends preoperative high-definition 3D CT imaging with intraoperative cone-beam CT and real-time navigation for dynamic visualization and accurate fragment control to eliminate guesswork and minimize the risk of malposition. Its cutting-edge robotic arm, electrically actuated holding devices, and elastic counterforces of traction ensure controlled and safe fracture reduction with soft tissue and neurovascular integrity preservation. Robot-assisted support is assisted by extensive clinical evidence to enhance the accuracy of surgery with sub-millimeter positioning discrepancies, reduce intraoperative blood loss, reduce exposure to radiation, reduce operative and hospital stay times, and enhance functional restoration according to scores demonstrated. Robot over conventional techniques reduces postoperative infection, implant loosening, nonunion, and nerve or vessel injury. TiRobot enhances fixation using artificial intelligence-assisted screw path planning and navigation. Albeit promising, it has limitations in adoption, such as being costly, having no feedback, and a high learning curve. More multicenter randomized clinical trials are required to estimate long-term efficacy, safety, and cost-effectiveness. Robot-assisted pelvic fracture surgery is a leading-edge development that has the ability to improve patient outcomes and the delivery of trauma care.
Authors
- Taiyuan Zhang
- Leilei Duan
- Linpeng Ge
- Long Wang
Institutions
- Fourth People’s Hospital of Jinan (CN)
Publication Details
- Journal
- Computer Assisted Surgery
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1080/24699322.2026.2615212
- Primary Topic
- Pelvic and Acetabular Injuries
- Type
- article
- Field-Weighted Citation Impact
- 0.00