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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04359355

Enrollment

Registered

2020-04-24

Start date

2020-01-01

Completion date

2020-05-31

Last updated

2020-04-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adenoma Colon, Polyp of Colon

Keywords

colonoscopy, endoscopy, adenoma detection, polyp detection, artificial intelligence

Brief 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.

Interventions

DEVICEArtificial 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

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 85 Years

Healthy volunteers

Yes

Inclusion criteria

* Screening or surveillance colonoscopy

Exclusion criteria

* known or suspected inflammatory bowel disease * uncontrolled coagulopathy * known polyps or referral for polypectomy

Design outcomes

Primary

Measure	Time frame	Description
Feasibility to use the AI System in vivo during colonoscopy	4 month	As a Primary outcome, whether the AI System is capable of detecting colorectal polyps in vivo during colonoscopy

Secondary

Measure	Time frame	Description
Diagnostic Performance of the AI System for detecting colorectal polyps	4 month	As a secondary outcome, we assess the diagnostic Performance of the AI System for detecing colorectal Polyp in real time

Countries

Germany

Contacts

Primary ContactTimo Rath, MD

timo.rath@uk-erlangen.de49 9131 85

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026