Research paper published in Endoscopy of Sichuan University provides intelligent assistance strategies for improving the quality of colonoscopy screening

In April 2022, the team of Professor Hu Bing from the Department of Gastroenterology and the team of Professor Zhang Yi from the Intelligent Medical Center of Sichuan University published the research paper "Artificial intelligence-based assessments of colonoscopic withdrawal technique: a new method for measuring and enhancing the quality of fold examination”

Liu Wei, a full-time postdoctoral fellow in the Department of Gastroenterology at West China Hospital, and Dr.

With the clinical application and popularization of colonoscopy diagnosis and treatment technology, colonoscopy has become the gold standard for screening colorectal polyps and other lesions

With the cross-integration of digestive endoscopy and artificial intelligence, deep convolutional neural networks can extract key features of images through different network layers, and can process a large number of endoscopic images at the same time.

Figure 1 The model architecture of the quality control system includes DCNN1 and DCNN2 models

Figure 2 The main structure of DCNN1 and DCNN2

Figure 3 The evaluation of the artificial intelligence system was significantly associated with the quality of the whole colonic mucosal fold examination

Figure 4.

  To sum up, the results of this study further show that artificial intelligence-assisted methods provide new opportunities for the quality control of colonoscopy screening, and are expected to become an important development direction for improving the quality of colonoscopy, which is beneficial for preventing the occurrence of colorectal cancer and improving the quality of colonoscopy.

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