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RECRUITING
NCT05245695

Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)

Sponsor: Aspira Women's Health

View on ClinicalTrials.gov

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

Official title: Deep Neural Network Stratification for the Use in Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)

Key Details

Gender

FEMALE

Age Range

14 Years - 50 Years

Study Type

OBSERVATIONAL

Enrollment

1200

Start Date

2022-07-12

Completion Date

2026-06-30

Last Updated

2025-06-25

Healthy Volunteers

No

Conditions

Interventions

OTHER

Observational study, no intervention

Observational study, no intervention

Locations (10)

New Horizons Clinical Trials

Chandler, Arizona, United States

Velvet Clinical Research

Burbank, California, United States

Reproductive Associates of Delaware (RAD)

Newark, Delaware, United States

Midtown OBGYN North

Columbus, Georgia, United States

Cindy Basinski, MD

Forest Hill, Indiana, United States

Johns Hopkins School of Medicine

Baltimore, Maryland, United States

Nezhat Surgery for Gynecology/Oncology

Valley Stream, New York, United States

Seven Hills Clinical Research

Cincinnati, Ohio, United States

May Grant

Lancaster, Pennsylvania, United States

Womens Health Services of Central Virginia

Lynchburg, Virginia, United States