Effectiveness of Artificial Intelligence - Assisted Colonoscopy in Colorectal Neoplasms

Artificial Intelligence - Assisted Colonoscopy in Diagnosis of Colorectal Neoplasms: Russian Multicenter Randomised Open - Label Trial

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.

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;

Inclusion Criteria:

• Screening coloscopy is needed

Exclusion Criteria:

• Indications for colonoscopy
• Previously detected colorectal neoplasms
• Previously performed colorectal surgery
• Colorectal cancer
• Inflammatory bowel disease