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;
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
1,000
Russian medical decision support system based on artificial intelligence "ArtInCol"
Airat Mingazov
Moscow, Russia
Adenoma detection rate
In each group, the percentage of patients with at least one histologically proven adenoma or carcinoma
Time frame: during the procedure
Polyps detection rate
In each group, the number of patients with all type of neoplasms (polyps) was detected as a percentage of the total number of patients.
Time frame: during the procedure
Number of polyps
In each group, the number of detected all type of polyps
Time frame: during the procedure
Number of adenomas
In each group, the number of detected adenomas
Time frame: during the procedure
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