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Fully Automatic Robot-Assisted Surgery for Mandibular Angle Split Osteotomy.

Mengzhe Sun1, Yuanhao Chai2, Gang Chai1

  • 1Department of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, School of Medicine, Shanghai Jiao Tong University,Shanghai, China.

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This summary is machine-generated.

Robot-assisted surgery enables precise automatic drilling in craniofacial procedures. This study confirms its feasibility, paving the way for enhanced surgical accuracy and reduced complications.

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Area of Science:

  • Surgical Robotics
  • Craniofacial Surgery
  • Computer-Assisted Surgery

Background:

  • Computer-assisted surgery enhances preoperational planning but faces challenges in precise execution.
  • Robot-assisted surgery offers high accuracy and stability, ideal for demanding procedures like drilling in craniofacial surgery.

Purpose of the Study:

  • To verify the feasibility of robot-assisted automatic drilling without soft tissue interference in craniofacial surgery models.
  • To evaluate the accuracy and efficiency of an industrial robot platform for automated surgical drilling.

Main Methods:

  • Utilized digital data from Shanghai 9th People's Hospital for mandibular reconstruction and surgical planning.
  • Input coordinate data into robot software, performing matrix conversion and inverse kinematics for trajectory generation.
  • Executed automatic drilling on a fixed and calibrated model, assessing accuracy with an optic scanning instrument and in animal models.

Main Results:

  • Drilling procedure took 12 minutes, with setup at 10 minutes.
  • Achieved position errors of (1.71 ± 0.16) mm (outside) and (1.37 ± 0.28) mm (inside), with an orientation error of (3.04 ± 1.02)°.
  • Animal model testing showed an accuracy error of (2.78 ± 1.52) mm with no postoperative complications.

Conclusions:

  • Robot-assisted automatic drilling is feasible in craniofacial surgery models without soft tissue interference.
  • This technology holds potential for increasing automation in craniofacial procedures with advancements in AI and machine vision.
  • The study represents a pioneering step in robot-assisted automatic surgery for craniofacial applications.