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Retrospective Case-Control Study for Developing an Artificial Intelligence (AI) Tool for Lesion Detection Using Magnetic Resonance Imaging (MRI) and Clinical Variables for Early Diagnosis of Axial Spondyloarthritis (axSpA)

NCT06591481 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 925

Last updated 2025-04-16

No results posted yet for this study

Summary

The goal of this observational study is to develop and validate an Artificial Intelligence (AI) tool that allows the lesion detection and early diagnosis of axial spondyloarthritis (axSpA) based on Magnetic Resonance Imaging (MRI).

This study will gather MRI scans from axSpA patients and a control group of participants.

Conditions

  • Axial Spondyloarthritis (AxSpA)

Sponsors & Collaborators

  • Ángel Alberich Bayarri

    lead INDUSTRY

Eligibility

Min Age
18 Years
Max Age
44 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-02-19
Primary Completion
2025-04-03
Completion
2025-04-03

Countries

  • Jordan
  • Saudi Arabia
  • Spain
  • United Arab Emirates

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06591481 on ClinicalTrials.gov