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 a holistic AI 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 outperform generalist radiologists and 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

BoneView

Commercially-available AI algorithm improves radiologists’ sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth

Jacques, T., Cardot, N., Ventre, J. et al.

BoneView

Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception. A Prospective Pre- and Post-Analysis

Hoppe, Boj Friedrich MD; Rueckel, Johannes MD; Dikhtyar, Yevgeniy MD; Heimer, Maurice MD; Fink, Nicola MD; Sabel, Bastian Oliver MD; Ricke, Jens MD; Rudolph, Jan MD; Cyran, Clemens C. MD

ChestView

Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation

Chassagnon G, Billet N, Rutten C, Toussaint T, Cassius de Linval Q, Collin M et al.