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Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
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Artificial Intelligence in Minimally Invasive Surgery: Current State and Future Challenges.

Shintaro Arakaki1,2, Shin Takenaka1, Kimimasa Sasaki1

  • 1Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, Kashiwa, Japan.

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Summary

Artificial intelligence (AI) is advancing surgery, especially minimally invasive surgery (MIS). Computer vision (CV) enhances decision-making via real-time image recognition, improving surgical outcomes and skill assessment.

Keywords:
AICSArtificial IntelligenceAutomated Surgical Skill EvaluationComputer VisionComputer-Assisted SurgeryDeep LearningMachine LearningSurgery

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Area of Science:

  • Medical Technology
  • Computer Science
  • Surgical Innovation

Background:

  • Artificial intelligence (AI) demonstrates significant advancements across diverse fields, with notable impacts on surgical practices.
  • Minimally invasive surgery (MIS) generates high-quality video data, ideal for computer vision (CV) applications.
  • CV technology is crucial for real-time image recognition, thereby enhancing intraoperative decision-making.

Purpose of the Study:

  • To explore the integration and applications of AI in surgical procedures.
  • To review the current state of AI in surgical navigation, postoperative analysis, and skill assessment.
  • To identify challenges and future perspectives for AI implementation in clinical surgery.

Main Methods:

  • Literature review of current AI applications in surgery.
  • Analysis of computer vision techniques in minimally invasive surgery.
  • Examination of AI's role in surgical decision support and skill evaluation.

Main Results:

  • AI, particularly CV, offers enhanced real-time image recognition for improved intraoperative guidance.
  • AI facilitates advancements in surgical navigation, postoperative analysis, and automated skill assessment.
  • Clinical integration of AI in surgery faces challenges but holds significant future potential.

Conclusions:

  • AI is transforming surgery, especially MIS, by leveraging computer vision for enhanced capabilities.
  • Further research and development are needed to overcome clinical challenges and fully realize AI's potential in surgical practice.
  • AI integration promises to improve surgical precision, efficiency, and patient outcomes.