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

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.

NCT Number	NCT05745129
Lead Sponsor	Oslo Metropolitan University
Conditions	Low Back Pain, Neck Pain, Disc Herniation, Disc Degeneration, Spinal Stenosis, Radiculopathy
Enrollment	165,000 participants
Start Date	2021-12-01
Primary Completion	2028-12-31 (estimated)
Study Completion	2028-12-31 (estimated)
Updated on ClinicalTrials.gov	2024-02-20