NCT06873373Completed
AI Based Real Time Detection of Endometriosis Lesions
Development of AI-Based Approaches for Automated Real-Time Detection of Endometriosis Lesions Using Endoscopic Image and Video Data
Source: ClinicalTrials.gov · Last updated 29 Jan 2026
Brief summary (registry, in English)
Development of AI-based approaches for automated real-time detection of endometriosis lesions using endoscopic image and video material.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 26 (actual)
- First submitted
- 17 Jan 2025
- Start date
- 10 Oct 2023
- Primary completion date
- 28 Jan 2025
- Lead sponsor
- University Hospital Tuebingen
- Diseases
- Endometriosis
- NCT number
- NCT06873373
What you commit to
- Study type: Observational
- Participants enrolled: 26
- From 10 Oct 2023 to the primary completion date, 28 Jan 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Malignancies
Other
- Expected lack of patient compliance or inability of the patient to understand the purpose of the clinical trial
- Absence of patient consent
Who the study is looking for
- Age ≥ 18 years
- Written consent after explanation
- Indication for surgical treatment of endometriosis
Age in the registry: 18 years to - · Sex: Female · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| University Hospital Tuebingen, Department of Women's Health Coordinator of this site? Confirm its status | Tübingen | Germany | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.