Robotic Assist and Virtual Surgical Planning in Orthognathic Surgery

Area of Science:

• Oral and Maxillofacial Surgery
• Medical Robotics
• Surgical Technology

Background:

• Orthognathic surgery corrects jaw deformities impacting function and aesthetics.
• Traditional methods face limitations in precision and predictability.
• Technological advancements are crucial for improving surgical outcomes.

Purpose of the Study:

• To review the impact of robotic assistance and Virtual Surgical Planning (VSP) on orthognathic surgery.
• To highlight advancements in precision, efficiency, and patient outcomes.
• To discuss the integration of AI, ML, and AR in surgical planning and guidance.

Main Methods:

• Integration of robotic systems (e.g., Da Vinci®, ROSA®) for sub-millimeter precision osteotomies.
• Utilization of Virtual Surgical Planning (VSP) with 3D imaging and simulation.
• Exploration of AI, machine learning, augmented reality, and haptic feedback systems.

Main Results:

• Robotic assistance and VSP significantly enhance precision and predictability in orthognathic procedures.
• These technologies reduce operative times and improve functional and aesthetic results.
• AI, ML, and AR offer advanced preoperative planning and intraoperative guidance.

Conclusions:

• Robotic assistance and VSP are revolutionizing orthognathic surgery by improving accuracy and patient outcomes.
• Widespread adoption requires addressing barriers like cost and training.
• Future research should focus on clinical validation and cost-effectiveness.