Back to all news
AI System Estimates Bone Mineral Density from X-rays, Improves Osteoporosis Detection
Researchers have developed an AI-based system to estimate bone mineral density from lumbar and femur X-rays for early osteoporosis detection.
Key Details
- 1AI system analyzes lumbar spine and femur bone mineral density from X-ray images.
- 2Study examined 1,454 X-ray images using the AI tool.
- 3Sensitivity for detecting osteopenia: 86.4% (lumbar), 84.1% (femur).
- 4Specificity for detecting osteopenia: 80.4% (lumbar), 76.3% (femur).
- 5System also demonstrated high accuracy for detecting osteoporosis.
- 6Potential for opportunistic and widespread clinical screening using routine X-rays.
Why It Matters
This AI system could enable more efficient and accessible osteoporosis screening by leveraging existing X-ray infrastructure, addressing unmet diagnostic needs globally and potentially reducing undiagnosed cases.
Source
EurekAlert
Related News
•EurekAlert
Researchers Develop All-Optical Synapse for Neuromorphic Imaging Systems
A new artificial synapse, controlled entirely by light, enables in-sensor neuromorphic processing for more efficient and noise-resistant imaging systems.
•EurekAlert
Mayo Clinic Showcases Imaging AI and Early Cancer Detection Advances at ASCO 2026
Mayo Clinic researchers will present over 30 studies at ASCO 2026, highlighting new advances in imaging AI, data science, and early cancer detection.
•EurekAlert
AI-Simulation Approach Achieves 90% Faster Brain MRI with Minimal Data
A simulation-based AI method can reconstruct brain MRI scans with only 10% of the usual data, greatly reducing scan times.