AZchest is a clinically validated AI radiology solution trusted by leading institutions worldwide. It automatically categorizes, detects, and reports the main cardiac and lung abnormalities on X-rays.

Your AI Partner for Medical Imaging

Streamline diagnostic workflows and improve operational efficiency with AZmed’s AI for radiology. These clinically validated solutions are deployed worldwide, reducing the workload on clinicians to improve patient care.

Discover Rayvolve®

The Rayvovle® AI Suite

Streamline your workflow and improve the quality of care with AZmed’s AI suite, which is globally recognized and clinically validated by leading institutions.

3D model of a knee joint showing bone structures and a ligament.

aztrauma - CE / FDA

83% - Reduced turnaround times

67% - Reduction in false negatives

99.7% - Negative predictive value

Anatomical view of the human thorax showing the rib cage, ribs, and diaphragm, with an infiltrate in the lower right quadrant.

azchest - CE / FDA

36% - Reduced reading time

Improved sensitivity

97.9% - Negative predictive value

Image of a bone joint with angles and degrees indicated in white, specifically 25° and 140°.

azmeasure - CE / FDA

1.4° - Average MAE for the angles

1.3 mm - Average MAE for lengths

Skeleton of a human hand, consisting of the femur, radius, ulna, and phalanges, against a black background.

azboneage - CE / FDA

Based on the standard methodology of Greulich & Pyle

Statistical comparison with chronological age

Streamline clinical workflows

$A diagram illustrating a medical diagnostic process using Rayvolve, featuring data transfer flows, AI-assisted analysis, and X-ray images of an arm with a fracture.$

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