AI-powered bone age estimation with AZboneage

PARIS, April 22, 2025 -- AZboneage is AZmed’s CE-marked AI software that assists healthcare professionals in estimating skeletal maturity in pediatric patients by analyzing hand radiographs using the Greulich and Pyle method.

The algorithm generates structured outputs, which display the predicted skeletal age and the recorded chronological age when available. The system displays results through a secondary diagnostic report, preserving the original radiographic image and allowing for auditability and diagnostic consistency.

The AI diagnostic support system received CE marking after demonstrating it meets essential safety, quality, and performance standards for European market deployment. The system operates within the Rayvolve® AI Suite as integrated software for radiographic workflow.

Gaétan Gerber, the Head of Product Operations at AZmed, said, “With AZboneage, we continue our commitment to supporting radiologists with clinically valuable tools that reduce repetitive tasks and streamline pediatric imaging workflows. Automating bone age estimation is one more step toward optimizing how radiologists work day in and day out, especially in time-sensitive, high-volume environments.”

The Rayvolve® AI Suite by AZmed also provides automated identification, quantification, and morphological analysis capabilities for musculoskeletal trauma radiographs as well as thoracic imaging indications.

Only a few weeks ago, the company announced two new FDA clearances for AZchest. The clearances include applications that assist radiologists in interpreting chest X-rays for lung nodules and triaging pneumothorax and pleural effusion.