The Center for Intelligent Musculoskeletal health (CIM) was approved as one of five excellent academic environments at OsloMet in fall 2020. Researchers affiliated with the Musculoskeletal health research group and OsloMet Artificial Intelligence Lab at the Faculty of Technology, Art and Design, as well as national and international partners, collaborates in transdisciplinary research activities at the center.

The primary objective of CIM is to build an interdisciplinary academic environment bridging AI, health technology and clinical research. We conduct high-quality research on musculoskeletal health in a life course perspective, embracing adolescents, young adults, adults, and older people. The research involves several stakeholders, including user representatives, clinicians and researchers from health service, work and health education settings. The vision of CIM is to contribute to reduce the burden of musculoskeletal disorders.

The scientific organization of the research in CIM is divided in four Research Pillars, which are designed to deliver high-quality expertise on four major research methods: Pillar I Epidemiology and clinical research, Pillar II Applied artificial intelligence research, Pillar III Trials and intervention research, and Pillar IV Qualitative research. In addition, we have established three topic groups that supports all research pillars with respect to: 1) Research-based innovation, 2) User involvement group, and 3) Dissemination and utilization. Together, the research pillars and topic groups form the basis for conducting translational research from basic and epidemiology research, clinical and health technology research, to implementation of innovative and effective solutions.