Colorectal polyp
Conditions
Interventions
Gold Standard:Pathologic diagnosis
Index test:Yinnuo Hawk-eye artificial intelligence digestive endoscopy system
Sponsors
West China Hospital of Sichuan University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Patients undergoing painless colonoscopy at the Digestive Endoscopy Center of Sichuan University Hospital; 2. There were clinical manifestations of colorectal polyps; 3. Voluntarily participate in the study and sign the informed consent for artificial intelligence identification of intestinal polyps and the informed consent for polyp removal;
Exclusion criteria
Exclusion criteria: 1. People who refuse to use artificial intelligence; 2. People with blood clotting disorders; 3. The lesions that were not identified and classified by artificial intelligence and retained a picture or the picture quality was poor and the NICE classification was not performed; 4. Poor bowel preparation can not clearly show the full picture of the lesion; 5. Familial polyposis of the colon; 6. Patients with a history of inflammatory bowel disease; 7. Patients with advanced colorectal cancer;
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity and specificity;Positive predictive and negative predictive;Accuracy of AI system in identifying intestinal polyp classification; | — |
Secondary
| Measure | Time frame |
|---|---|
| Detection rate of different types of intestinal polyps; | — |
Countries
China
Contacts
Public ContactHu bing
West China Hospital of Sichuan University
Outcome results
None listed