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Development of artificial intelligence systems for early biomarker detection in spine imaging with a focus on evaluating structural changes in osteoporotic vertebral bodies, including potential applications for war-affected individuals
Project/agreement No.
LV_UA /2025/4
Project funding
39 930.00 EUR, funded by Latvia
Project manager
Project realization
01.06.2025. - 31.12.2026.
Aim
The goal of the project is to develop and adapt artificial intelligence (AI) solutions for early identification of osteoporotic fracture biomarkers in computed tomography (CT) scans that include the spine, with a specific focus on structural changes in osteoporotic vertebrae. These tools are intended for use in routine CT examinations, primarily in asymptomatic patients, and potentially evaluating implementations in war- affected individuals.
Description
The project brings together Latvian radiology and Ukrainian computer science specialists with the goal of developing artificial intelligence tools for analysing structural changes in osteoporotic vertebrae. Given the high prevalence of osteoporosis and the substantial burden it places on healthcare systems, early diagnosis is particularly important. Although osteoporosis is the main cause of vertebral fractures, it often progresses asymptomatically and is frequently diagnosed only after a fracture has occurred. Within the framework of the project, routine computed tomography images are analysed to identify early structural changes in the spine that could help predict fracture risk and improve patient care.
Project Team
- Prof. Ardis Platkājis
- Dāvids Orlovs
- Jekaterina Stepanova
Project Partner
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
