BoneView
Overview
BoneView by Gleamer is an advanced AI-driven software designed to assist clinicians in the interpretation of X-ray radiographs for the detection of bone trauma. It identifies fractures, effusions, dislocations, and bone lesions across various anatomical regions, including limbs, pelvis, rib cage, and thoracic and lumbar spine. The tool provides pre-diagnosis labels (POSITIVE, DOUBT, NEGATIVE) with confidence levels, highlighting suspected regions with bounding boxes on images.
Integrated seamlessly into existing radiology reading workflows, BoneView aims to enhance diagnostic accuracy, reduce reading time, and optimize workflow efficiency. It supports preliminary and second reads, helps triage urgent cases through worklist prioritization, and can generate draft patient reports automatically with its AutoReport function.
Clinically validated, BoneView has demonstrated its ability to reduce missed fractures and improve sensitivity and specificity for both radiologists and non-radiologists. It is intended for use by radiologists, orthopedic surgeons, emergency physicians, rheumatologists, family physicians, and physician assistants.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered fracture detection
- Detection of dislocations and bone lesions
- Detection of effusions
- Worklist prioritization based on AI findings
- AutoReport function for draft report generation
- Image annotation with bounding boxes and confidence labels
- Seamless integration with PACS and RIS
- Support for adult and pediatric patients (over 2 years old for limbs)
- Covers limbs, pelvis, rib cage, thoracic and lumbar spine X-rays
Use Cases
- Preliminary reads for X-ray trauma exams
- Second reads to enhance diagnostic accuracy
- Fracture and bone-trauma detection in emergency departments
- Optimizing radiology workflow and reducing reading time
- Triaging studies to prioritize urgent cases
- Supporting residents and clinicians in fracture detection
Details
| Category | Radiology & Imaging AI |
| Pricing |
Contact for pricing
|
| Deployment | Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated BoneView (K222176) received 510(k) FDA clearance on March 2, 2023, as a computer-assisted detection and diagnosis (CADe/CADx) software. It is cleared to assist clinicians in the interpretation of limbs radiographs of children/adolescents (over 2 years old) and limbs, pelvis, rib cage, and dorsolumbar vertebra radiographs of adults. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Orthopedics, Radiology |
What the Web Says
BoneView by Gleamer AI is an AI-driven X-ray interpretation tool designed to assist radiologists and emergency physicians in detecting fractures, effusions, dislocations, and focal bone lesions. It aims to improve diagnostic accuracy, reduce reading times, and optimize workflow in emergency and musculoskeletal care. The software has received FDA clearance in the US and CE mark certification in the EU, and is used in hundreds of institutions globally.
Overall: PositiveStrengths
- Improved fracture detection sensitivity, with studies showing up to a 30% reduction in missed fractures.
- Reduced X-ray reading time, with reported reductions of 15% in some studies.
- Enhances diagnostic confidence and acts as a safety net for physicians, especially during high-workload periods or for less experienced readers.
- Provides worklist prioritization and an AutoReport function to generate draft report text, streamlining workflow.
- Detects a wide range of bone trauma, including subtle fractures, across various anatomical regions for both adult and pediatric patients.
- Seamless integration into existing PACS and reading workflows.
Limitations
- Mixed results regarding specificity, with some studies showing improvement for certain readers while decreasing for others.
- Can generate false positives, which some physicians find time-consuming to address and explain.
- Performance for complex scenarios like multiple fractures and dislocations can be limited.
- Some Reddit users express concerns about AI overcalling findings or introducing bias if used before a human read.
- The need for multicenter validation and more diverse training data to improve generalizability and robustness.
Based on reviews from: Elion Health, TestDynamics, Gleamer (official website), AuntMinnie, BioWorld, Interventional News, Sectra Medical, PR Newswire, BioSpace, Health AI Register, Blackford Analysis, St. Luke's, WRNJ Radio, Axis Imaging News, Reddit, PubMed Central
Last updated: 2026-07-18
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BoneView by GLEAMER - English Subtitles
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Investors who backed BoneView
Funded through the company that built this tool.
