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BoneView FDA

BoneView, our first clinical AI application, has become a global bone trauma X-ray interpretation standard. It pinpoints fractures efficiently on X-ray. Recognized for its scientific rigor with publications in top-tier peer-reviewed journals, its clinical study won the prestigious 2022 Alexander Margulis Award for scientific excellence.

Boneview V2
CE FDA
Region certifications

Better Patient Care

Reduce medical errors and enhance precision. BoneView boosts the diagnostic accuracy of all readers, from MSK specialists to ED physicians.

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Empowering readers

BoneView enables readers to achieve higher efficiency, regardless of the hour or day. It reduces reading time and minimizes errors stemming from fatigue or search biases.

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Optimizing Workflow

By promptly identifying and preventing overlooked pathologies, we can decrease Emergency Department and reduce patient recalls and associated litigation costs. BoneView is a genuine aid developed to optimize care pathways.

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“As an academic radiologist, I was routinely impressed with BoneView's AI algorithms, which allow the 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 PROF. OF RADIOLOGY & MEDICINE BOSTON UNIVERSITY
Guermazi Ali 2016 21 2a Cropped

“The team of USARAD radiologists, myself included, have been using BoneView in our teleradiology practice over the past year with excellent results, including improved patient, referring physician, and client satisfaction, as well as improved radiologist interpretation speed and efficiency. Missing fractures is now a thing of the past for us!”

MICHAEL YUZ, MD, MBA CHIEF RADIOLOGIST CEO USARAD HOLDINGS INC.
1577838273520

“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. STEFAN M. NIEHUES, MHBA, CARITAS HOSPITAL, BERLIN, GERMANY
Prof  Stefan Markus Niehues
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