AI technology for detecting endometriosis lesions in real time
Development of AI-Based Approaches for Automated Real-Time Detection of Endometriosis Lesions Using Endoscopic Image and Video Data
This study is testing a new AI technology to see if it can help doctors find endometriosis lesions more accurately and quickly during laparoscopic surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 30 (estimated) |
| Ages | 18 Years and up |
| Sex | Female |
| Sponsor | University Hospital Tuebingen Academic / other |
| Locations | 1 site (Tübingen) |
| Trial ID | NCT06873373 on ClinicalTrials.gov |
What this trial studies
This study focuses on developing artificial intelligence (AI) methods for the automated real-time detection of endometriosis lesions during laparoscopic procedures. By utilizing endoscopic images and videos, the study aims to train machine learning algorithms to recognize and analyze specific structures or anomalies associated with endometriosis. The AI model will be trained on annotated data, allowing it to autonomously identify lesions and provide visual outputs that highlight detected areas. The goal is to enhance the accuracy and efficiency of endometriosis diagnosis during minimally invasive surgeries.
Who should consider this trial
Good fit: Ideal candidates for this study are women aged 18 years and older who are scheduled for surgical treatment of endometriosis.
Not a fit: Patients who may not benefit from this study include those with malignancies or those unable to provide informed consent.
Why it matters
Potential benefit: If successful, this approach could significantly improve the detection and diagnosis of endometriosis, leading to better patient outcomes.
How similar studies have performed: Other studies have shown promise in using AI for medical imaging, suggesting that this approach could be effective, although this specific application is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * Written consent after explanation * Indication for surgical treatment of endometriosis Exclusion Criteria: * Expected lack of patient compliance or inability of the patient to understand the purpose of the clinical trial * Absence of patient consent * Malignancies
Where this trial is running
Tübingen
- University Hospital Tuebingen, Department of Women's Health — Tübingen, Germany (Recruiting)
Study contacts
- Study coordinator: Bernhard Krämer, Prof. Dr. med.
- Email: bernhard.kraemer@med.uni-tuebingen.de
- Phone: +49 7071 29 82211
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.