Vertebral fracture AI detection for better osteoporosis care (the VertAIdo-project)
Description: Purpose and goal:
Aim:
Investigate whether opportunistic AI screening (vertebral fractures) integrated with fracture liaison service leads to a higher number of correctly diagnosed and treated patients and whether it is health-economically beneficial compared to present care.
Objectives include:
Does an AI-support implemented in a clinical routine flow lead to a higher number of vertebral fractures being diagnosed, patients investigated and treated compared to ordinary work methods?
Expected results and effects:
Hypothesis:
Opportunistisk AI-detektion of vertebral fractures that is well integrated with the fracture chain will significantly increase the number of diagnosed and treated vertebral fractures and is cost-effective compared to current systems. Finding and treating these patients will lead to a lower risk of new serious osteoporosis fractures.
Approach and implementation:
The study will compare 4 months of AI support implemented in a clinical fracture chain (intervention) compared to a historical cohort of the same time period the year before (control). The study cohort includes patients >50 years of age undergoing CT thorax and/or abdomen, regardless of cause. The actual prevalence of vertebral fractures on CT examinations is expected to be constant during this time.
Funder: VINNOVA
Amount: SEK 1,500,000
Funding type: grant
Funder scheme: Project grant
Start date: 2024-09-30
End date: 2026-09-29
Investigator: Anna Spångeus
Institution: Ostergotlands Lan, Region Östergötland
Funded outputs count: 0
Funder award ID: 2024-01898
OpenAlex ID: G4664638229