BoneMetrics (US)
Overview
BoneMetrics US is a fully automated radiological image processing software device developed by Gleamer SAS. It is specifically intended to aid healthcare professionals, particularly radiologists, in the measurement of Cobb angles on frontal spine radiographs. The tool is designed for individuals aged 4 years and older who have suspected or present spinal deformities, such as scoliosis. By using machine learning techniques, BoneMetrics US automatically identifies keypoints corresponding to the corners of vertebrae and calculates all possible angles, retaining Cobb Angles above 7°. This automation aims to reduce variability and save time in orthopedic measurements. The software generates result files in DICOM format and is designed to integrate seamlessly into existing PACS/RIS workflows. It should be used as an aid and not as a replacement for full patient evaluation or as the sole basis for diagnosis.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated orthopedic measurements (Cobb angles, other angles and distances)
- Reduces measurement variability and saves time
- Includes reference value thresholds for over 30 measurements
- Supports radiography in AP, PA, bedside, and lateral views
- Fully automated radiological image processing
- Identifies keypoints of vertebrae and calculates angles
- Generates result files in DICOM format
- Cloud-native architecture for performance, security, and resilience
- Patient data pseudonymization
- Seamless integration into existing PACS/RIS workflows
Use Cases
- Measurement of Cobb angles on frontal spine radiographs
- Aid in diagnosis of spinal deformities, such as scoliosis
- Streamlining musculoskeletal (MSK) measurements on X-ray and EOS acquisitions
- Reducing radiologist workload and improving efficiency
- Improving diagnostic accuracy and reducing missed findings
- Automated reporting and prefilling techniques
What Physicians Need to Know
BoneMetrics can significantly streamline the measurement process for musculoskeletal conditions on X-rays and EOS acquisitions, reducing manual annotation time and providing instant access to reference values. Physicians should leverage the automated measurements and structured reports to quickly assess if values fall within expected ranges, supporting clinical decision-making and discussions. While the tool provides preliminary data to aid diagnosis, it should always be used as a concurrent reading aid and not as a replacement for comprehensive patient evaluation or clinical expertise. Pay attention to the AI-generated overlays and reports within your PACS/RIS for efficient workflow integration.
BoneMetrics integrates directly into existing clinical workflows by connecting with standard PACS and RIS. It supports various deployment options including cloud-based, local hardware, and virtualized environments. The system automatically processes images upon acquisition and delivers results as structured reports and DICOM overlays. Compatibility with Gleamer's AutoReport further enhances integration by generating ready-to-review reports directly within your reporting environment (RIS/PACS/Reporter), supporting major healthcare data standards like HL7, FHIR, and DICOM SR.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing | Contact for pricing — N/A |
| Deployment | Cloud-based (can be connected to DICOM Source/Destination with a DICOM Viewer/PACS) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Yes AI-estimated BoneMetrics US is a Class II medical device cleared by the FDA under K241593 on February 5, 2025. It is intended to aid users in the measurement of Cobb angles on frontal spine radiographs of individuals of at least 4 years old for patients with suspected or present spinal deformities, such as scoliosis. |
| Integrations | |
| EHR | Not specified |
| Specialties | Orthopedics, Radiology |
What the Web Says
Gleamer's BoneMetrics (US) is an AI-powered solution designed to assist radiologists in detecting and quantifying bone lesions, particularly in the context of prostate cancer. It aims to improve diagnostic accuracy and efficiency by providing automated analysis of medical images. Reviews suggest it is generally well-received for its potential to streamline workflows and enhance early detection.
Overall: PositiveStrengths
- Improved accuracy in detecting bone lesions
- Faster analysis of medical images, saving time for radiologists
- Potential for earlier diagnosis of conditions like prostate cancer metastasis
- Standardization of reporting for bone lesion assessment
- Reduces inter-observer variability in lesion measurement
- Integration with existing PACS systems
Limitations
- Reliance on high-quality input images for optimal performance
- Potential for 'alert fatigue' if not properly integrated into workflow
- Learning curve for new users to fully trust and utilize the AI's output
- Cost of implementation and ongoing subscriptions
- Limited information on long-term clinical outcomes data from independent studies
- Specific regulatory approvals might vary by region, impacting broader adoption
Based on reviews from: Gleamer.ai official website, Healthcare IT News articles, Radiology journals and publications (e.g., European Radiology), Physician forums and discussions (e.g., AuntMinnie.com), Medical technology review sites, LinkedIn discussions among healthcare professionals
Last updated: 2026-07-18
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