Status:

UNKNOWN

Machine Learning for Early Diagnosis of Endometriosis(MLEndo)

Lead Sponsor:

Semmelweis University

Collaborating Sponsors:

University of Aarhus

Conditions:

Endometriosis

Pelvic Pain

Eligibility:

FEMALE

14-45 years

Brief Summary

The project aims to create a large prospective data bank using the Lucy medical mobile application and collect and analyze patient profiles and structured clinical data with artificial intelligence. I...

Detailed Description

Introduction: Endometriosis is a complex and chronic disease that affects ∼176 million women of reproductive age and remains largely unresolved. It is defined by the presence of endometrium-like tissu...

Eligibility Criteria

Inclusion

  • Women in reproductive age
  • 5000 patients with endometriosis
  • 5000 patients without endometriosis

Exclusion

  • Ongoing pregnancy
  • Malignant condition of ovary/uterus/breast

Key Trial Info

Start Date :

January 1 2022

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

December 31 2024

Estimated Enrollment :

10000 Patients enrolled

Trial Details

Trial ID

NCT06147687

Start Date

January 1 2022

End Date

December 31 2024

Last Update

November 28 2023

Active Locations (2)

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Page 1 of 1 (2 locations)

1

Bokor Attila

Budapest, Hungary, 1028

2

Semmelweis University

Budapest, Hungary, 1088