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Scientific Evidence
AZmed receives FDA clearance for its Rayvolve software detecting fractures on X-Rays
clinical-studies
How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?
clinical-studies
External validation of a commercially available deep learning algorithm for fracture detection in children
Our News
November 26, 2022
The cofounders of AZmed are nominated as Forbes 30 Under 30
Julien Vidal, 28, Alexandre Attia, 28, and Elie Zerbib-Attal, 28, the cofounders of AZmed on a mission to “augment doctors with the power of AI", are now nominated as part of the 2022 cohort of Forbes 30 Under 30
November 26, 2022
AZmed receives FDA clearance for its Rayvolve software detecting fractures on X-Rays
AZmed has received U.S. Food and Drug Administration (FDA) clearance for its AI diagnostic tool called “Rayvolve” capable of detecting fractures on standard X-Rays. The solution allows doctors to save time and increase diagnosis accuracy.
clinical-studies
November 24, 2022
How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?
clinical-studies
November 24, 2022
External validation of a commercially available deep learning algorithm for fracture detection in children