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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders

NCT05745129 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 165000

Last updated 2024-02-20

No results posted yet for this study

Summary

The primary objective is to use machine learning methods on large survey and health register data to identify participants with different treatment trajectories and health outcomes after surgical and/or conservative treatment for spinal disorders.

Secondary objectives are to 1) conduct external validation of the prediction models, and 2) explore how the prediction models can be implemented into AI-based clinical co-decision tools and interventions.

Conditions

  • Low Back Pain
  • Neck Pain
  • Disc Herniation
  • Disc Degeneration
  • Spinal Stenosis
  • Radiculopathy

Sponsors & Collaborators

  • Oslo Metropolitan University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-01
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • Norway

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 NCT05745129 on ClinicalTrials.gov