Artificial Intelligence, Enteroscope, Intestinal Polyposis, Adenomatous
Conditions
Brief summary
A clinical trial of the effectiveness and safety of intestinal polyp digestive endoscopy-assisted diagnosis software used in the analysis of colonoscopy medical images generated by electronic digestive endoscopy equipment.
Interventions
DeFrame can analyze colonoscopy medical images generated by electronic digestive endoscopy equipment to automatically identify, label and screen capture polyps in the colon.
Sponsors
Study design
Eligibility
Inclusion criteria
* Age of 18 to 85 years old, regardless of gender; * electronic colonoscopy is required; * The subjects or their legal representatives could understand the purpose of the trial, show sufficient compliance with the trial protocol, and sign the informed consent.
Exclusion criteria
* (1) Contraindications associated with electronic colonoscopy or biopsy; * (2) poor intestinal preparation; * (3) diagnosed colorectal cancer, familial polyposis, or complicated with known colorectal polyps; * (4) serious neurological diseases or dysfunction of vital organs (heart, lung, liver, kidney); * (5) acute abdominal or intestinal inflammation; * (6) History of abdominal, pelvic, anal and perianal operations within 2 months before enrollment; * (7) Participated in other interventional clinical trials within 1 month before enrollment; * (8) In the interest of subjects, the investigator considers that they should not participate in other conditions of the clinical trial.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| PMR | during colonoscopy procedure | Polyp miss rate |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| AMR | during colonoscopy procedure | Adenoma miss rate |
Countries
China