Gleamer Copilot® to support your radiology practice

Making physicians faster and more accurate with expert-level AI

Comprehensive
We aim to cover all your daily clinical needs with our holistic Gleamer Copilot®, offering a unified experience in your AI journey.
Proven performances
Each AI application we release meets the highest standard of performance, grounded in meticulous clinical validation studies.
User-friendly
Gleamer Copilot® seamlessly integrates into your workflow, providing behind-the-scenes yet powerful support.

X-Ray

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.

CE FDA

Mammography

Coming soon

Solution for Detecting Breast Abnormalities in Tomosynthesis and Mammography.

CT Scan

Coming soon

Our products achieve expert-level performances.

Integrates seamlessly into your existing workflow

Our solutions adhere to the strictest standards for patient data security. Additionally, we prioritize seamless integration into your existing workflow, ensuring transparency and eliminating the need for additional tools or software.

Backed by proven science

All evidence

BoneMetrics

Deep learning algorithm enables automated Cobb angle measurements with high accuracy

Hayashi D, Regnard N-E, Ventre J, Marty V, Clovis L, Lim L, Nitche N, Zhang Z, Tournier A, Ducarouge A, Kompel A J, Tannoury C, Guermazi A

BoneView

Diagnostic Performance of an AI-Assisted Radiographic Software for Detecting Metacarpal and Phalangeal Fractures and Dislocations in Emergency Settings (article in French)

Fondu P, David E, Arab O A, Ghazali A, Rotari V, Klein C

BoneView

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Shelmerdine S C, Pauling C, Allan E, Langan D, Ashworth E, Yung K-W, Barber J, Haque S, Rosewarne D, Woznitza N, Novak A, Theivendran K, Arthurs O J