Da Vinci Robot-Assisted Video Image Processing under Artificial Intelligence Vision Processing Technology.

Area of Science:

• Surgical Technology
• Medical Imaging
• Oncology

Background:

• Gastric cancer surgery presents challenges in achieving optimal visualization and precision.
• Digital imaging in robotic surgery can be improved through advanced algorithms.

Purpose of the Study:

• To evaluate the application of intelligent algorithm-based digital images in Da Vinci robot-assisted gastric cancer surgery.
• To compare the outcomes of robotic surgery with traditional laparoscopic surgery.

Main Methods:

• 104 pair-matched patients (52 robotic, 52 laparoscopic) with gastric cancer.
• Application of a thread image edge detection algorithm to digital surgical images.
• Analysis of intraoperative, postoperative, and follow-up data.

Main Results:

• Algorithm processing significantly improved image clarity, reduced artifacts, and enhanced diagnostic accuracy (sensitivity, specificity).
• Robotic surgery showed significant improvements in reduced intraoperative bleeding, shorter surgery time, and better postoperative recovery markers.
• While both groups achieved R0 resection, robotic surgery involved more lymph node dissections.

Conclusions:

• Intelligent algorithm-based image enhancement improves diagnostic capabilities in robotic gastric cancer surgery.
• Da Vinci robotic surgery demonstrates superior safety, reliability, and minimally invasive benefits over laparoscopic approaches for gastric cancer.
• Robotic surgery shows promise for enhanced patient recovery and surgical precision.