Colonic Neoplasms, Colonic Polyp, Diagnosis
Conditions
Brief summary
The primary goal of this study is to estimate the effectiveness of a medical decision support system based on artificial intelligence in the endoscopic diagnosis of benign tumors. Researchers will compare Adenoma detection rate between artificial intelligence - assisted colonoscopy and conventional colonoscopy groups to evaluate the clinical effectiveness of artificial intelligence model.
Detailed description
The primary outcome is adenoma detection rate per patient. The secondary outcomes will be measured: * Polyps detection rate (all type of lesions) per patient; * Number of adenomas per patient; * Number of polyps per patient;
Interventions
Russian medical decision support system based on artificial intelligence ArtInCol
Sponsors
Study design
Eligibility
Inclusion criteria
* Screening coloscopy is needed
Exclusion criteria
* Indications for colonoscopy * Previously detected colorectal neoplasms * Previously performed colorectal surgery * Colorectal cancer * Inflammatory bowel disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Adenoma detection rate | during the procedure | In each group, the percentage of patients with at least one histologically proven adenoma or carcinoma |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Polyps detection rate | during the procedure | In each group, the number of patients with all type of neoplasms (polyps) was detected as a percentage of the total number of patients. |
| Number of polyps | during the procedure | In each group, the number of detected all type of polyps |
| Number of adenomas | during the procedure | In each group, the number of detected adenomas |
Countries
Russia