NCT06469671

Effectiveness of Artificial Intelligence - Assisted Colonoscopy in Colorectal Neoplasms

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

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,000 (estimated)
• Sponsor: State Scientific Centre of Coloproctology, Russian Federation · Other Government
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Not accepted

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;

Conditions

• Colonic Neoplasms
• Colonic Polyp
• Diagnosis

Interventions

Type	Name	Description
DEVICE	The system based on real - time artificial intelligence - assisted for colonoscopy	Russian medical decision support system based on artificial intelligence "ArtInCol"

Timeline

• Start date: 2024-07-01
• Primary completion: 2024-10-01
• Completion: 2024-12-01
• First posted: 2024-06-21
• Last updated: 2024-06-21

Locations

1 site across 1 country: Russia