The AI suites
for medical imaging

CE-marked (Class IIa)
FDA-cleared
GDPR-compliant
HIPAA-compliant
ISO 13485-certified
MDSAP-certified
SOC 2 Type II-compliant
ENS Alto-certified
RayvolveX-ray AI Suite
AZtrauma

The leading AI radiology solution for detecting fractures, dislocations, joint effusions, and a broad spectrum of bone and joint lesions on X-rays.

83%Turnaround time
(TAT) reduction
67%False negatives
avoided
99.7%Negative predictive
value
AZchest

Automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.

+11.4%Sensitivity per
case
35.8%Reading time
decreased
97.9%Negative predictive
value
AZmeasure

Automated characterization of osteo-articular angles and lengths on X-rays, with sub-millimeter precision.

1.4°Average MAE
for angles
1.3 mmMean absolute
error (distances)
AZboneage

Automated pediatric bone age assessment from hand X-rays using the Greulich and Pyle method.

0.49yMAE
overall
98.6%
correlation
RayScanCT AI Suite
AZnod

Automated detection, characterization and 3D volumetric measurement of lung nodules on chest CT.

88%Nodule detection
sensitivity
0.91False positives
per scan
<3 minAnalysis time
per scan

Support every diagnostic
read with artificial intelligence

Book a custom demo. Our team will show you how AI results appear in your viewer, how AZmed integrates with your PACS, and what a typical implementation involves.

Our imaging AI experts

Ready to help you get started

Shoulder and rib X-ray with AI-detected fractures highlighted