AZboneage: Automated Bone Age Calculation
AZboneage delivers definitive automated bone age assessment for pediatric patients, based on the trusted reference standard of the Greulich & Pyle methodology. Seamlessly integrated into clinical workflows, it automatically compares bone and chronological age, bringing rapid, standardized precision to pediatric imaging.
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Clinical capabilities
Anatomical coverage: Hand
Clinical studies
The world's largest X-ray AI study
We evaluated Rayvolve, our flagship X-ray AI suite, in the largest peer-reviewed multicenter study of its kind, spanning real-world clinical settings on five continents.
Worldwide standalone performance
Cohen et al. (2026), Radiography. Dual-reader consensus across 497 X-rays, Greulich & Pyle standard, 8 countries.
Built on clinical evidence
AZmed's Rayvolve and Rayscan AI suites are rigorously validated with world-leading institutions across a broad range of imaging modalities. Based on peer-reviewed clinical literature and large-scale real-world studies, AZmed's software provides high-quality image interpretation and reliable decision support, driving better patient care and raising the bar for safer, more sustainable radiology.
Testimonials
We use Rayvolve for the detection of fractures and thoracic pathologies. The solution seamlessly integrates into our local PACS and our workflow. Thanks to its results, our radiologists can significantly speed up their overall reporting while simultaneously increasing its accuracy. We therefore consider it our AI-based second opinion, which boosts our overall quality and performance.
Henrik MichaelyOwner & Chief RadiologistMVZ Radiologie KarlsruheThe implementation of AZmed’s Rayvolve AI software for fracture detection at our institution has particularly helped our junior clinicians and practitioners in the emergency department, especially out of hours — with additional support in image interpretation and diagnosis, which in turn allows for a more efficient and streamlined patient treatment pathway into Orthopaedic fracture clinic.
Dr Subhasis BasuMSK RadiologistWrightington HospitalRayvolve demonstrated high stand-alone accuracy, aided diagnostic accuracy, and decreased interpretation time. When extrapolated over an entire population, one can see quickly how using this tool can really help decrease medical errors and healthcare costs.
Navid Faraji, MDMSK RadiologistUHOther AI radiology solutions
Support every diagnostic
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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.
