The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery

Area of Science:

• Surgical technology
• Artificial intelligence in medicine
• Robotic surgery

Background:

• Increasing use of AI in operating rooms.
• Need for enhanced visualization in robotic surgery.

Purpose of the Study:

• Integrate real-time AI visual cues with the Single-Port (SP) robotic platform for colorectal surgery.
• Evaluate the feasibility of AI-assisted SP robotic colorectal surgery.

Main Methods:

• A patient underwent end-ileostomy reversal using the SP robotic platform.
• Integrated novel AI deep-learning software for real-time tissue identification.
• Displayed AI-processed visual information via color-coded monitors.

Main Results:

• AI technology accurately identified tissues for transection or preservation.
• Color-coded AI display facilitated safe dissection.
• SP robot provided excellent access and range of motion for anastomosis.
• Utilized prior stoma site, avoiding additional incisions.

Conclusions:

• First successful integration of AI (computer vision, deep learning) with SP robotic platform for colorectal surgery.
• Demonstrated technical feasibility of combined modalities.
• Highlights potential for expanded use in gastrointestinal surgery.