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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
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Artificial intelligence- and computer-assisted navigation for shoulder surgery.

Kang-San Lee1, Seung Ho Jung1, Dong-Hyun Kim1

  • 1Department of Orthopaedic Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.

Journal of Orthopaedic Surgery (Hong Kong)
|March 28, 2024
PubMed
Summary
This summary is machine-generated.

Technological advancements like AI and robotics are revolutionizing shoulder surgery. Innovations in computer-assisted surgery and navigation systems are enhancing planning and execution for better patient outcomes.

Keywords:
artificial intelligencecomputer-assisted surgerypatient-specific instrumentationshoulder surgery

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Area of Science:

  • Orthopedic Surgery
  • Medical Technology
  • Artificial Intelligence

Background:

  • Shoulder surgery has seen significant advancements due to technological innovation.
  • Emerging technologies like robotics, AI, and VR are poised to drive future breakthroughs.

Purpose of the Study:

  • To analyze recent technological advancements in shoulder surgery.
  • To provide an overview of the current landscape and the role of technology.

Main Methods:

  • Comprehensive analysis of recent technological innovations.
  • Review of computer-assisted surgery, including navigation and robotic systems.
  • Categorization of surgical planning based on imaging and data acquisition.

Main Results:

  • Computer-assisted surgery with navigation and robotics is increasingly adopted.
  • Surgical navigation systems utilize volumetric, intraoperative fluoroscopic, or kinetic/morphometric data.
  • AI and deep learning show transformative potential in orthopedic diagnostics.

Conclusions:

  • AI and deep learning are significantly influencing medical domains, including orthopedics.
  • Deep learning-based diagnostics in orthopedics have demonstrated remarkable achievements.