Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
NCT05245695
This study is recruiting at 10 US sites in 9 states, according to its ClinicalTrials.gov record last updated .
Summary
The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis and to show validity as a diagnostic test
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Endometriosis
Eligibility basics and study details
- Study type
- Observational
- Phase
- Not applicable
- Ages
- 14 to 50 years
- Sex
- Female
- Healthy volunteers
- Not accepted
- Sponsor
- Aspira Women's Health
- Last updated on ClinicalTrials.gov
- June 4, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
Arizona · 1
- New Horizons Clinical Trials · Chandler, AZ
California · 1
- Velvet Clinical Research · Burbank, CA
Delaware · 1
- Reproductive Associates of Delaware (RAD) · Newark, DE
Georgia · 2
- Midtown OBGYN North · Columbus, GA
- Advanced Women's Care Center · Stockbridge, GA
Indiana · 1
- Cindy Basinski, MD · Forest Hill, IN
Maryland · 1
- Johns Hopkins School of Medicine · Baltimore, MD
New York · 1
- Nezhat Surgery for Gynecology/Oncology · Valley Stream, NY
Ohio · 1
- Seven Hills Clinical Research · Cincinnati, OH
Virginia · 1
- Womens Health Services of Central Virginia · Lynchburg, VA
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.