Abdominal Pain, Black Stools, Constipation, Diarrhea
Conditions
Brief summary
The investigators conducted a multicenter randomized controlled trial to explore the adjuvant effect of artificial intelligence in the detection of precancerous lesions in the proximal colon.This is a prospective, multicenter, single-blind, parallel randomized controlled trial.During the colonoscopy retraction process, the investigators aimed to compare the detection rates of proximal colon adenomas with and without the assistance of an AI(Artificial Intelligence) diagnostic device.
Interventions
Full AI assistance was used throughout the standard colonoscopy procedure.
After normal withdrawal of the colonoscope to the splenic flexure during standard colonoscopy, full AI assistance was initiated. The colonoscope was re-entered to the ileocecal region for observation. Any missed lesions were recorded.
The standard colonoscopy procedure was performed as usual
Sponsors
Study design
Eligibility
Inclusion criteria
1.Patients with symptoms such as abdominal pain, black stools, constipation, or diarrhea undergo colonoscopy for diagnostic purposes.
Exclusion criteria
1. Those with inflammatory bowel disease, colorectal cancer and surgical history, as well as those with familial polyposis syndrome 2. Those with intestinal obstruction or malignant tumors 3. Patients with colorectal lesions that need to be treated in stages. 4. Other contraindications for colonoscopy examination.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Average adenoma detection rate | Day 1 | The result is the number of adenomas detected by colonoscopy divided by the total number of colonoscopies performed. |
| Adenoma detection rate | Day 1 | The proportion of patients who have at least one adenoma detected during colonoscopy examination |
Countries
China