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Medimaps Group has unveiled a new AI software model designed to assess bone fragility using routine X-ray scans. This innovative tool aims to address the significant gap in osteoporosis screening, as many high-risk patients have not been referred for necessary DXA scans. The software analyzes existing X-ray images, flagging patients who may require further examination without additional time burdens on healthcare providers.
The AI model has shown impressive validation accuracy rates of 86% internally and 85% externally, significantly reducing false positives. This capability is crucial for preventing unnecessary referrals, a common issue with other diagnostic tools. The software's specificity is expected to make it a valuable asset for hospitals and private practices, enhancing early detection and prevention strategies for osteoporosis-related fractures.
• AI software accurately detects bone fragility from routine X-ray scans.
• Validation accuracy rates of 86% and 85% demonstrate software reliability.
The AI software developed by Medimaps Group utilizes deep learning to analyze X-ray images for bone fragility.
The AI model from Medimaps Group underwent rigorous training on over 25,000 X-ray files to enhance its detection capabilities.
The software achieved an internal validation accuracy of 86% and external accuracy of 85%, indicating its effectiveness in clinical settings.
Medimaps Group's new software aims to improve osteoporosis screening and fracture risk prediction.
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