The Challenge
Osteoporosis is a global epidemic
Vertebral compression fractures (VCFs) are a key indicator of osteoporosis; however, due to their asymptomatic nature, they often go unnoticed, and the chance for early osteoporosis detection is missed. This can have serious consequences, including a significant risk of morbidity and mortality. Even though these fractures can be seen on a CT scan, radiologists often concentrate on the primary pathology the scan was made for, overlooking the VCFs.
The Solution
Introducing AI-powered vertebral fracture detection
IB Lab FLAMINGO uses advanced AI algorithms to automatically detect clinically relevant vertebral compression fractures (Genant grade 2 or 3) in any spine-containing CT scan. By opportunistically analyzing these scans, FLAMINGO ensures that no fracture goes unnoticed, allowing for earlier diagnosis and treatment without adding to the radiologist’s workload.
IB Lab FLAMINGO revolutionizes osteoporosis workflows by opportunistically scanning in the background and creating a report with 98% specificity and 91% accuracy, minimizing false positives and ensuring only relevant fractures are flagged. These results are seamlessly delivered to the osteoporosis or fracture liaison service (FLS) teams, enabling faster decision-making and improving patient care without adding to the radiologist’s workload.
Opportunities for physicians and patients
Enhancing osteoporosis management with automated VCF detection
- Fully automated vertebral fracture detection saves time and reduces the need for manual scan reviews.
- 98% specificity ensures that almost no false positives are flagged, minimizing unnecessary follow-ups and reducing additional workload.
- High accuracy (91%) for clinically relevant fractures ensures patients receive timely intervention for osteoporosis.
- Standardized reporting formats allow for easy integration into existing workflows, improving efficiency without requiring additional resources.
