Prospective evaluation of a new artificial intelligence system for detection of colon polyps

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00022279

Enrollment

150

Registered

2020-06-30

Start date

2020-07-15

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

K63.5

Interventions

Group 1: Patients referred for diagnostic colonoscopy are included in the study. Further interventions are not perfomed

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: All persons who can give informed consent and age 18 or older who present for diagnostic colonoscopy

Exclusion criteria

Exclusion criteria: Patiens presenting for polypectomy/EMR Inflamatory bowel disease Serious illness including advanced cancer Poor health status (ASA IV-V) Pregnancy Anticoagulation

Design outcomes

Primary

Measure	Time frame
Rate of missed adenomas ans sessile serrated adenomas by AI system	—

Secondary

Measure	Time frame
Rate of missed polyps by AI (polyp miss rate) Missed adenomas and SSA according to different subgroups (size 1-4mm, 5-10mm, >10mm; macroscopic appearance (flat/polypoid), histology) Withdrawal time ADR with and without AI system	—

Countries

Germany

Contacts

Public ContactDominic Brookman-Amissah

Krankenhaus Barmherzige Brüder Regensburg

gastro@barmherzige-regensburg.de00499413692051

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026