NCT04359355

Computer-aided Detection of Colorectal Polyps

Development and Validation of a New Artificial Intelligence System for Automated Detection of Colorectal Polyps During Colonoscopy

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 40 (estimated)
• Sponsor: University of Erlangen-Nürnberg Medical School · Academic / Other
• Sex: All
• Age: 18 Years – 85 Years
• Healthy volunteers: Accepted

Summary

In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.

Detailed description

During standard colonoscopy, a substantial number of colorectal polyps can be missend. As shown in a recent meta-analysis, miss rates for adenomas can reach up to 26%. In this study, it is tested whether an artificial intelligence system that highlights colorectal polyps during screening or surveillance colonoscopy in real time can lead to an increased detection of colorectal polyps during the examination.

Conditions

• Adenoma Colon
• Polyp of Colon

Interventions

Type	Name	Description
DEVICE	Artificial Intelligence System for Detection of colorectal polyps	In this group, an artificial Intelligence System will be used for computer-aided diagnosis of colorectal polyps. Diagnostic Performance of the artificial intelligence System for detection of polyps will be compared against Operator-based detection in the same group

Timeline

• Start date: 2020-01-01
• Primary completion: 2020-04-30
• Completion: 2020-05-31
• First posted: 2020-04-24
• Last updated: 2020-04-24

Locations

1 site across 1 country: Germany