Research groups
Research projects
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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We use machine learning methods to develop and validate prediction models for health and welfare outcomes after treatment for spinal disorders.
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Implementing a Teaching Module Combining Quality Improvement, Evidence-Based Practice, and Knowledge Translation at an Interdisciplinary Master’s Program – QUALIMP
In recent years, the demand for evidence-based practice has increased in health services.
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Improving personalized treatment in health care for lower spine disorders
The aim of the study is to deepen the understanding of how patients with lower spine disorders, general practitioners (GPs), physiotherapists and hospital doctors make decisions about treatment.