BoneView

AI-powered solution for fracture detection

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

BoneView is the most used bone trauma AI in the world

Detect bone trauma in seconds, seamlessly integrated into your reading workflow.

BoneView instantly detect fractures on X‑rays, helping radiologists act faster and with greater confidence.

See BoneView in Action

Without AI
With AI

Indication

A 63-year-old male with lingering pain after a trail run.

Results

BoneView detected a fracture of the lateral tibial plateau and associated  effusion. The fracture has a high risk of displacement.

For Adults and Children

BoneView is intended to be used on X-Rays of adults and children above 2 years old.

Comprehensive Body Coverage

BoneView is intended for use on X-rays of the limbs, pelvis, thoracic and lumbar spine, and rib cage.

More than a safety net,
BoneView is a real assistant.

NPV of
99.5%
for fractures¹
Reduction of
30%
in missed fractures²
Reading times are
30%
with BoneView³

Clinical Studies

View all

BoneView

Early budget impact analysis of AI to support the review of radiographic examinations for suspected fractures in NHS emergency departments (ED)

Lucy Gregory, Trishal Boodhna, Mathew Storey, Susan Shelmerdine, Alex Novak, David Lowe, Hugh Harvey

Value in Health
,
August 3, 2025
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Early budget impact analysis of AI to support the review of radiographic examinations for suspected fractures in NHS emergency departments (ED)Early budget impact analysis of AI to support the review of radiographic examinations for suspected fractures in NHS emergency departments (ED)

BoneView

Added value of artificial intelligence for the detection of pelvic and hip fractures

Anthony Jaillat, Catherine Cyteval, Marie-Pierre Baron Sarrabere, Hamza Ghomrani, Yoav Maman, Yann Thouvenin, Maxime Pastor

Japanese Journal of Radiology
,
March 5, 2025
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Added value of artificial intelligence for the detection of pelvic and hip fracturesAdded value of artificial intelligence for the detection of pelvic and hip fractures

BoneView

Artificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic review

Robert M. Kwee, Thomas C. Kwee

European Journal of Radiology
,
June 9, 2025
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Artificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic reviewArtificial intelligence-assisted detection of fractures on radiographs with BoneView: a systematic review

Boost your workflow with the power of advanced integrations

Designed with radiologists, our workflow integrations blend effortlessly into daily routines, enhancing speed, clarity, and confidence at every step.

Reporting has never been this fast

AutoReport automatically generates patient reports based on its findings. It fills in the indication, technique, and delivers smart, clinically relevant impressions, saving time while ensuring consistency and quality.

AI-powered Worklist

Worklist now highlights AI results, findings, and automatically prioritizes urgent patient cases.

Shadow Mode

AI results appear on native images, where radiologists can review, accept, or reject, all within their workflow.

Part of Gleamer Copilot

Gleamer Copilot is the all-in-one AI platform that supports radiologists from image to report. It combines powerful detection tools, smart measurements, and structured reporting to boost accuracy and efficiency, all seamlessly integrated into your workflow.

Already implemented in
+2500
Clinical sites
We analyze
+45M
Patients/year
Worldwide presence in
+45
Countries

¹Very high NPV of BoneView for fractures, dislocations, elbow effusions and focal bone lesions (> 99%) (Regnard et al., European Journal of Radiology, 2022)

²Missed fractures decreased by 30% with AI assistance. Relative reduction in patient wise FNR ; 35.2% to 24.8%. (Guermazi et al., Radiology, 2021)

³36% decrease in reading time for Reader 2, from 44 seconds without BoneView to 28 seconds with BoneView. (Canoni-Meynet et al., Diagnostic and Interventional Imaging, 2022)

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