A Dual-Mode Robot-Assisted Plate Implantation Method for Femoral Shaft Fracture.

Area of Science:

• Orthopedic surgery
• Robotics in medicine
• Medical imaging and artificial intelligence

Background:

• Minimally invasive internal fixation is standard for femoral shaft fractures.
• Current methods face challenges with invisibility, inaccuracy, and instability during plate implantation.

Purpose of the Study:

• To develop and evaluate a dual-mode robot-assisted plate implantation method.
• To improve accuracy, stability, and safety in femoral fracture fixation.

Main Methods:

• A novel dual-mode robot-assisted system combining a starting point determination algorithm, motion capture, deep learning, and robotics.
• A neural network model for planning patient-specific plate implantation trajectories.

Main Results:

• The neural network successfully planned implantation trajectories tailored to patient conditions.
• The robotic arm demonstrated high stability and precision during plate implantation.
• The implantation trajectories met clinical requirements for trend and fluctuation.

Conclusions:

• The proposed dual-mode robot-assisted method enhances precision and stability in femoral fracture fixation.
• The robotic arm implantation process was confirmed to be safe for clinical application.