A new AI tool estimates bone mineral density from routine lumbar spine and femur X-rays, enabling earlier osteoporosis detection.
Key Details
- 1Traditional osteoporosis screening uses dual-energy X-ray absorptiometry (DXA) but has low utilization rates.
- 2The AI estimates bone mineral density from lumbar spine and femur X-rays already performed for other indications.
- 3Experts believe this may help identify at-risk patients sooner for earlier intervention.
- 4Millions are currently undiagnosed due to limited access to DXA equipment.
- 5Details of the development were published in the Journal of Orthopaedic Research.
Why It Matters
By leveraging commonly performed X-rays, this AI tool could expand osteoporosis screening to a broader population, addressing a major underdiagnosis issue in bone health and improving patient outcomes globally.
Source
Health Imaging
Related News
•Radiology Business
Real-World Study: Radiology AI Best in Emergency and Inpatient Settings
A commercial AI tool for intracranial aneurysm detection outperformed in inpatient and emergency settings but yielded limited benefits for outpatients in a major health system study.
•Radiology Business
New Rubric Enhances Safety of AI-Generated Radiology Summaries
Researchers developed a five-factor rubric to assess the safety and quality of AI-generated, patient-friendly radiology report summaries.
•Radiology Business
Harrison.ai Restructures and Launches U.S. AI-Enabled Teleradiology Venture
Harrison.ai lays off staff amid major restructuring and launches Frontier Radiology, an AI-powered U.S. teleradiology business.