Osteoporosis is a metabolic condition that gradually reduces bone density over time, making bones fragile and far more susceptible to fragility fractures—broken bones resulting from low-energy impacts, such as a simple slip, trip, or sudden movement. Among the most common are vertebral compression fractures (VCFs), where a bone in the spine collapses. Because these fractures frequently occur without sudden trauma or obvious symptoms, patients often do not realise a fracture has occurred.

When fractures are identified, a Fracture Liaison Service (FLS) steps in as a specialised care team to assess the patient's underlying bone health and initiate preventative treatment. This project strengthens this care pathway by integrating automated AI fracture detection directly into routine hospital workflows. When patients undergo standard CT scans for unrelated clinical reasons (such as chest or abdominal imaging), FLAMINGO AI automatically analyses the scans for signs of undetected vertebral fractures. Confirmed cases automatically trigger an alert in Pathpoint® FLS, enabling clinical teams to rapidly evaluate at-risk patients and coordinate preventative care before a severe secondary fracture occurs.