Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We will use machine learning methods on large survey and health register data in order to identify people with different treatment trajectories and health outcomes after surgical and/or conservative treatment for spinal disorders.
Needs and expectations among individuals, health personnel, and stakeholders involved in occupation and health (Bridgebuilder project)
Impaired musculoskeletal health is known to negatively impact work productivity and life quality. This project acts as a bridge between academic research and users’ needs in the society.
Publications and research
Kjønø, Lise Grethe; Killingmo, Rikke Munk; Vigdal, Ørjan Nesse; Grotle, Margreth; Storheim, Kjersti (2022). Assessing physical workload among people with musculoskeletal disorders: validity and reliability of the physical workload questionnaire. BMC Musculoskeletal Disorders . Vol. 23.