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A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

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Artificial intelligence and robotics: a combination that is changing the operating room.

Iulia Andras^1,2, Elio Mazzone^1,3,4, Fijs W B van Leeuwen^1,5,6

¹ORSI Academy, Melle, Belgium.

World Journal of Urology

|November 29, 2019

Summary

Artificial intelligence (AI) in robotic surgery enhances surgical training and patient care. Machine learning methods improve surgical skills, efficiency, and outcomes, paving the way for autonomous procedures.

Keywords:

Artificial intelligence Autonomous surgery Machine learning Robotic surgery Surgical navigation

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Area of Science:

Robotic Surgery
Artificial Intelligence
Surgical Navigation

Background:

Robotic surgery offers advanced capabilities for surgical interventions.
Integrating artificial intelligence (AI) presents new opportunities in surgical practice.

Purpose of the Study:

To review and summarize existing literature on AI applications in robotic surgery.
To explore the impact of AI on surgical training and patient outcomes.

Main Methods:

A narrative literature review was conducted using MEDLINE/PubMed and Scopus databases.
Articles published between January 2015 and June 2019 on AI, machine learning, and robotic surgery were analyzed.

Main Results:

AI implementation in clinical settings shows encouraging preliminary results.
Machine learning enhances surgical skills acquisition, process efficiency, guidance, and outcome prediction.
AI integration with robotic systems can improve surgical experience and monitoring.

Conclusions:

AI is expected to significantly impact surgical training and enhance the surgical experience.
AI aims to achieve precision surgery, improving the quality of surgical care.
AI in robotic surgery may facilitate the development of autonomous surgical procedures.