Human adult female right hand bones x-ray image. Medical and anatomy radiography or imagery.

BoneView FDA

Your AI companion for bone trauma X-Rays

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3500

Users

Radiologists, Emergency Physicians, radiographers...

+ 300

Hospitals and clinics

Using the solution in clinical routine

Clinically Validated

Radiologists need medical grade solutions they can trust.

CE mark Class IIA & FDA cleared

Companioning more than 1500 users

BoneView AI provides radiologists and ED doctors with an instant and automatic 2nd reading of trauma X-Rays fully integrated into the reading workflow.

Save time and improve reading comfort

Reduce medical errors and improve diagnostic accuracy

Reduce claims and associated costs

" As an academic radiologist, I was routinely impressed with BoneView's AI algorithms, which allow detection of subtle abnormalities and improved diagnostic sensitivity, specificity and accuracy. Additionally, the software seamlessly integrated into any workflow, saved time and increased efficiency for the radiologist. "

Ali Guermazi, MD, PhD, MSc Professor of Radiology & Medicine Boston University School of Medicine

“ Gleamer's BoneView AI is to date the most stable and most robust solution on the AI market, the results are outstanding ”

Prof. Dr. med. Dr. rer. medic. Stefan M. Niehues, MHB La Charité, Berlin, Germany

" This study (Duron et. al, Radiology 2021) is the result of significant collaborative work between specialists in radiology, data science, biostatistics, and GLEAMER teams to evaluate the clinical performance of BoneView. This is an important step that quantifies and scientifically validates the benefits of this AI solution available to healthcare institutions, in a context where several solutions are marketed without published objective results "

Antoine Feydy, Radiologist, France

Already Trusted By

AI-powered workflow

BoneView is a Class IIa medical device manufactured by GLEAMER and whose conformity assessment has been carried out by the notified body KIWA CERMET 0476. It is intended to provide preliminary data for diagnosis on standard radiography. Please read the operating instructions carefully.

Instant findings for safer and faster interpretation

Use BoneView as a double check and avoid missing tiny lesions. BoneView detects fractures, effusions, dislocations, and bone lesions on X-Ray images.

- 30 %

Missed fractures*

Smart worklist for triage and prioritization

Use BoneView to triage and prioritize interpretations. BoneView supports integration with RIS through HL7 capability.

Full workflow integration

BoneView integrates seamlessly with all IT infrastructures and communicates with the PACS to process appropriate examinations and display results in the user's usual environment.


Related Evidence

BoneView Trauma
  • Duron et al.,
  • Radiology

Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study

BoneView Trauma
  • Ali Guermazi ,
  • Radiology

Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence

BoneView Trauma
  • ECR 2022

Artificial Intelligence (AI) support for pelvic fracture detection on plain radiographs: a preliminary study of AI integration in the clinical workflow

BoneView Trauma
  • Regnard et. al,
  • RSNA

Evaluation of the medical impact of artificial intelligence for limb and pelvic bone fracture detection

BoneView Trauma
  • Hayashi et. al,
  • RSNA

Improving Radiographic Fracture Detection and Reducing Reading Time Using Artificial Intelligence: A Multi-Center Study with Radiologists and Non-Radiologists in The United States

Clinical cases

Make up your mind and navigate among real-life examples

Removing satisfaction of search bias

by consistently detecting all fractures

Indication
41-year-old male after a motorcycle accident

Results with BoneView
Fracture of the collar bone and fracture of the rib that could have easily been missed

Increasing sensitivity

By detecting subtle fractures

Indication
30 y.o. woman limping. Crush trauma a week ago (domestic violence)

Results with BoneView
Fracture of the fourth metatarsal bone

Human adult female right hand bones x-ray image. Medical and anatomy radiography or imagery.

BoneView Trauma

Your AI companion for bone trauma X-Rays

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Your AI companion for lesions detection on Chest X-Rays