Academy of Finland
Funding decision
Name Hirvasniemi, Jukka
Organisation OY
Project title
Automated analysis of X-ray and magnetic resonance image features in prediction and diagnosis of osteoarthritis
Decision No. 308165
Decision date 11.05.2017
Funding period 01.09.2017 - 31.12.2018
Funding 111 055
WebFOCUS Report
Project description
Osteoarthritis is a common musculoskeletal disease reducing the quality of life and imposing a large economic burden on society. In this project, automatized analysis methods using machine learning for knee and hip radiographs were developed. For the development and validation of the methods, longitudinal data from a large cohort study (over 1000 subjects) of knee and hip osteoarthritis were utilized. The developed methods improved the understanding of image features that are related to bone structure and density, and their association with osteoarthritis and its development.