Clinical applications of artificial intelligence in robotic surgery

Area of Science:

• Medical Technology
• Robotics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is transforming modern life, with significant advancements in medical fields.
• Robotic surgery represents a key area of innovation within AI applications in medicine.

Purpose of the Study:

• To review recent contributions of AI to robotic surgery, focusing on intraoperative enhancements.
• To explore AI's role in surgical education and address ethical considerations.

Main Methods:

• Narrative review of AI applications in robotic surgery.
• Analysis of AI's impact on intraoperative metrics, margin detection, and procedure automation.
• Examination of AI in surgical video analysis and kinematic data for skills assessment and feedback.

Main Results:

• AI provides advanced intraoperative metrics, improves positive surgical margin detection, and enables automation of surgical tasks.
• AI-driven analysis of surgical video and kinematics facilitates automated skills assessment and personalized feedback for surgical training.
• The integration of AI in robotic surgery presents complex ethical questions that require careful consideration.

Conclusions:

• AI is revolutionizing robotic surgery through intraoperative enhancements and improved surgical education.
• Ethical frameworks are necessary to navigate the complexities of AI adoption in surgical procedures.
• Ongoing research in AI for robotic surgery promises groundbreaking innovations and improved patient outcomes.