BoneAge
AI solution for bone age assessment on children’s hand radiographs
BoneAge™ uses deep learning techniques to assist physicians in assessing children’s bone on based on the Greulich and Pyle’s method. The solution accurately reports a child’s developmental age.
Automatic and accurate bone age assessment
Accurately reports a child’s developmental age using the Greulich and Pyle method
Results within 2 standard deviations based on the Brush Foundation study (optional)
Defines a range of normal skeletal ages that should include the skeletal development of approximately 95% of patients at the patient's chronological age and sex (optional)
Optimization of your workflow.
The results and a copy of the original image are integrated directly into your reading environment. No additional interface required.
Save time; avoid manually assessing bone age
Reduce potential medical errors and improve diagnositc accuracy
Save time, secure your diagnosis and optimize your workflow with Incepto
Publications
-
High performance for bone age estimation with an artificial intelligence solution. Toan Nguyen, Anne-Laure Hermann, Jeanne Ventre, Alexis Ducarouge, Alois Pourchot, Vincent Marty, Nor-Eddine Regnard, Ali Guermazi. Diagnostic and Interventional Imaging. Volume 104, Issues 7–8, July–August 2023, Pages 330-336
Regulatory
Contact us to know if this product is available in your country.
