BoneView represents Gleamers first application in the clinical AI domain. It has evolved into a global standard for the interpretation of X-ray images in cases of bone injuries, and is appreciated for its scientific excellence.
This AI application efficiently identifies fractures, effusions, dislocations, and bone lesions. Recognized for its scientific rigor through publications in top-tier, peer- reviewed journals, its clinical study was honored with the prestigious Alexander Margulis Award 2022 for scientific excellence.
BoneView provides a reduction of medical errors and an enhancement of precision.
It increases the diagnostic accuracy for all users, from MSK experts to ED physicians.
BoneView reduces reading time and minimizes errors that arise from fatigue or search biases.
It enables readers to increase their efficiency regardless of the time of day.
By rapidly identifying and preventing overlooked pathologies, the strain on the Emergency Department can be reduced.
The number of patient recalls as well as the associated litigation costs can be decreased.
With BoneView, our partner provides authentic support aimed at optimizing care pathways.
In a context in which the exam workload is getting higher, AI allows us to reduce human errors: perception, satisfaction of search, and side biases.
Gleamer’s BoneView AI is to date the most stable and most robust solution on the AI market; the results are outstanding.
In the face of the constant workload of emergency services, it is essential to optimize the tools used by emergency practitioners. In this context, BoneView quickly became an integral part of our daily reading.
The implementation of BoneView in the trauma emergency department of our hospital has enabled a more accurate diagnosis. Its immediacy has significantly improved response times in patient care.