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Stangelmaier, V; Salzlechner, C; Götz, C; Dimai, HP; Kurth, A; Kocijan, R.
AI-assisted detection of vertebral fractures in routine CT scans: How artificial intelligence could reduce the diagnostic gap in osteoporosis
OSTEOLOGIE. 2025; 34(03): 207-212. Doi: 10.1055/a-2673-6204
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Co-authors Med Uni Graz: Dimai Hans Peter
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Abstract:: Osteoporotic vertebral compression fractures (VCFs) are associated with significant health consequences and often go unnoticed, as two-thirds of cases are asymptomatic. An undiagnosed VCF increases the risk of subsequent osteoporotic fractures, particularly hip fractures, and poses a serious burden on healthcare systems. Despite established treatment options, a significant care gap remains, especially because many vertebral fractures are either not detected or not reported. Artificial intelligence (AI) offers a promising approach to closing this diagnostic gap. Various AI-powered systems enable the automated detection of clinically relevant VCFs on routine CT scans, allowing for earlier fracture identification and timely osteological assessment. Advanced deep-learning models analyze CT data with high precision, provide standardized and objective reporting, and minimize additional workload for radiologists. Several AI solutions currently available on the market have demonstrated high diagnostic accuracy, with sensitivity and specificity ranging from 80-95% and 93-99%, respectively.Using the example of the CE-certified IB Lab FLAMINGO software, it will be shown how artificial intelligence can help to opportunistically identify clinically relevant VCFs. By facilitating the timely identification of at-risk patients, AI-driven solutions can enable earlier therapeutic intervention and improve overall patient management. In the long term, integrating AI into fracture diagnostics could significantly contribute to reducing the osteoporosis treatment gap.
Find related publications in this database (Keywords): Osteoporosis; fracture detection; AI; vertebral fracture; Osteoporosis; fracture detection; AI; vertebral fracture; CT