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Robotic-Assisted Arthroscopy Promises Enhanced Procedural Efficiency, Visualization, and Control but Must Overcome
Kyle N Kunze1, David Ferguson2, Ayoosh Pareek1
1Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
Summary
Robotic-assisted arthroscopy, powered by AI, enhances precision in surgeries like ACL reconstruction. Despite early success, regulatory and training challenges hinder widespread clinical adoption of this advanced surgical technology.
Area of Science:
- Minimally Invasive Surgery
- Robotics in Medicine
- Surgical Technology
Background:
- Robotic-assisted surgery is established in spine and joint procedures.
- Arthroscopy applications are emerging due to AI and robotic advancements.
- Conventional arthroscopy has limitations: depth perception, accuracy, fluid management, and dexterity.
Purpose of the Study:
- To review current robotic-assisted arthroscopy platforms.
- To survey available robotic arthroscopy technologies.
- To examine barriers to adoption and future potential.
Main Methods:
- Literature review of robotic-assisted arthroscopy.
- Synthesis of capabilities and applications.
- Survey of current technologies and adoption barriers.
Main Results:
- Early studies show submillimeter precision and improved accuracy in procedures like ACL reconstruction.
- Robotic systems address limitations of conventional arthroscopy.
- Widespread adoption is limited by regulatory, economic, and training hurdles.
Conclusions:
- Robotic-assisted arthroscopy offers enhanced precision and accuracy.
- Overcoming adoption barriers is crucial for widespread clinical use.
- This technology has the potential to redefine arthroscopic surgery.
