Norwegian version

Centre for Intelligent Musculoskeletal Health (CIM)

Illustration of a human body and x-ray photos.

CIM consists of a transdisciplinary team of musculoskeletal health researchers and computer scientists, working together to develop innovative and intelligent musculoskeletal health interventions.

Musculoskeletal disorders are the second common cause of disability worldwide, and with the ageing population these disorders represent one of the largest future challenges for health and society welfare.

Therefore, CIM will bring together experts in complementary fields to develop, evaluate, and implement effective innovative and practical solutions to challenges faced by stakeholders involved in the musculoskeletal field.

We will explore different technological methods within AI – in particular machine learning – in order to enhance current understanding of development and risk of persistent disorders.

Our ambition is to develop innovative and effective personalized interventions that can be implemented in clinical, work and health education settings.

Our pillars

The scientific organization of the research in CIM is divided in three pillars, which are designed to form a translational trajectory from clinical research to implementation and dissemination of the innovative and effective interventions.

In addition, we have established three topic groups that embrace all three research pillars.

Our research team

Leader

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Senior adviser

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Leader pillar 1

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Leader pillar 2

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Leader pillar 3

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Project coordinator

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Members

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  • Steven Hicks
  • Vajira Thambawita
  • Zheng an Toh

User representative

Thor Einar Holmgard

External board

  • Kjersti Storheim, Oslo University Hospital
  • John-Anker Zwart, Oslo University Hospital
  • Birgitta Öberg, Linkøping University
  • Allan Abbott, Linkøping University
  • Robert James Froud, Warwick Clinical Trials Unit and Kristiania University College
  • Morten Goodwin, University of Agder
  • Jan Hartvigsen, University of Southern Denmark
  • Paul Jarle Mork, Norwegian University of Science and Technology (NTNU)
  • Tore Solberg, The Arctic University of Norway (UiT)
  • Danielle Van der Windt, Keele University