Collaborative Research Project
Artificial Intelligence Musculoskeletal Disorders Study
… is a multicenter consortium coordinated by i²LAB to develop automated methods for opportunistic screening of CT scans with the aim to identify patients at high risk for osteoporotic fracture. ARTEMIS-DiaProoF (“Diagnosis and prognosis of osteoporotic fracture risk“) is the subproject pursued by i²LAB, in which optimized AI-based image analysis techniques are developed for analysis of quantitative computed tomography of the spine and the proximal femur.
ARTEMIS partners include the University Medical Center in Erlangen, the University Lübeck, the Ostfalia University of Applied Sciences, and the Christian-Albrechts-University in Kiel.
… (“Diagnosis and prognosis of osteoporotic fracture risk”) is the ARTEMIS subproject carried out by i²LAB. Here, we will focus on risk assessment for osteoporotic fractures with a more comprehensive evaluation of CT based volumetric bone mineral density of the spine and the proximal femur. By matching structural features using AI methods, we will try to predict fragility features visible only on high resolution CT images. The methods will be developed and tested in two independent cohort, the AGES-Reykjavik study and the data at the UKSH, both following prospective AI-based study designs.