AI-based detection and size measurement of adenomas in the upper gastrointestinal tract in female and male patients with FAP

AI-based detection and size measurement of adenomas in the upper gastrointestinal tract in female and male patients with FAP - AI Study

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00039021

Enrollment

150

Registered

2026-01-29

Start date

2025-06-01

Completion date

Unknown

Last updated

2026-02-02

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

Conditions

D12.6

Interventions

Group 1: Video signal recording during endoscopy, including gastroscopy and rectoscopy. Histological examination for the purpose of adenoma detection and identification of benign glandular cysts.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Indication for endoscopy Consent to study participation

Exclusion criteria

Exclusion criteria: Not capable adults who cannot give informed consent are excluded from participating in the study.

Design outcomes

Primary

Measure	Time frame
The first goal is the development of an AI-based algorithm for real-time adenoma detection in the gastroduodenal region, with a focus on differentiating harmless glandular cysts in the stomach.	—

Secondary

Measure	Time frame
The second goal is to determine the size of these adenomas during endoscopy, especially in the duodenum, to quantify the adenoma burden as a predictor of the risk of malignancy.	—

Countries

Germany

Contacts

Public ContactRonald Koschny

Univeristätsklinikum Heidelberg

ronald.koschny@med.uni-heidelberg.de0622156311280

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 7, 2026