This research was aimed to explore the application value of intelligent algorithm‐based
digital images in Da Vinci robot‐assisted treatment of patients with gastric cancer surgery …

The combination of computer algorithms to diagnose clinical images has attracted more and
more attention. This research aims to improve the efficiency of gastric cancer (GC) …

Objective To investigate the feasibility and safety of robotic-assisted radical resection of
gastric and colorectal cancer. Methods The clinical data of 305 patients who received radical …

Introduction: At present, cancer imaging examination relies mainly on manual reading of
doctors, which requests a high standard of doctors' professional skills, clinical experience …

Introduction Endoscopy is an important tool for the diagnosis of early gastric cancer.
Therefore, a combination of artificial intelligence and endoscopy has the ability to increase …

In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system
in the radical resection of lung cancer. For this purpose, 73 cases of patients with lung …

Artificial intelligence and disease detection go hand in hand. Convolutional neural networks,
a significant area of artificial intelligence applications, are crucial in the detection of stomach …

Robot-assisted surgery (RAS) using the da Vinci surgical system (dVSS) has been widely
performed owing to its high-definition stereoscopic visualization and improved …

Da Vinci robotic surgical system leads the development of minimally invasive surgical
techniques. By using Da Vinci surgical robot for minimally invasive surgery, it brings a lot of …

To quickly locate cancer lesions, especially suspected metastatic lesions after gastrectomy,
AI algorithms of object detection and semantic segmentation were established. A total of 509 …