Bonescreen develops AI-based software for non-invasive extraction and analysis of spinal biomarkers from routine CT scans, enabling precise evaluation of bone health conditions such as osteoporosis. This technology addresses the diagnostic gap in osteoporosis screening, facilitating earlier detection and improving patient outcomes by providing detailed bone mineral density measurements and fracture identification.
Funding
Funding not disclosed
Founders
Product
Problem
Osteoporosis screening often relies on dedicated DXA scans, which may not be routinely performed, leading to delayed diagnosis and treatment. Existing methods for assessing bone health from routine CT scans are often manual, time-consuming, and may overlook subtle but critical indicators of bone disease. This diagnostic gap results in a significant number of patients not receiving appropriate treatment according to osteoporosis guidelines.
Solution
Bonescreen offers AI-powered software solutions that enable the non-invasive extraction and analysis of spinal biomarkers from existing routine CT scans. The SpineQ product assists clinicians in diagnosing osteoporosis by providing a comprehensive spine report, including level-wise annotation, calibrated bone mineral density measurements, and osteoporotic fracture identification. SpineR facilitates spine processing by segmenting and labeling vertebrae and identifying subregions, which can be integrated into automated surgery planning, PACS overlays, and 3D printing. Bonescreen's technology aims to improve early detection of bone health conditions, enhance patient care, and reduce healthcare costs associated with osteoporotic fractures.
Target Audience
The primary target audience includes radiologists, clinicians, surgeons, and researchers who require precise and efficient tools for assessing bone health and diagnosing osteoporosis from CT scans.
Features
- AI-based analysis of routine CT scans to extract spinal biomarkers.
- SpineQ: Automated osteoporosis diagnosis support with level-wise annotation and bone mineral density measurement.
- SpineR: Spine segmentation and labeling for integration with surgical planning and PACS systems.
- Fracture identification to highlight abnormal findings relevant for osteoporosis.
- Integration capabilities with existing medical imaging workflows.
- Identification of transitional vertebrae and enumeration anomalies.
- Quantitative insights into bone diseases for informed diagnoses.