Radiography of the left hand a.p. of a male with the chronological age of nine years and three months. BoneView Bone Age calculates bone age using the Greulich & Pyle atlas method as seven years and ten months, standard deviation 10.74 months.
Bone age determination is one of the indispensable domains of radiology. At the same time, it places high demands on the clear description of the measured values.
It is with great pleasure that we present BoneView Bone Age, an AI software for pediatric bone age determination using hand radiographs.
Why BoneView Bone Age matters and how it works
BoneView Bone Age is an AI software for pediatric bone age determination according to the Greulich & Pyle atlas method for the age group from three to 17 years. The chronological age is compared with the AI measurement data. In addition, the standard deviation is given in months.
Any medical professional anywhere in the world can request bone age analysis at any time by quickly and easily uploading hand radiographs to Radailogy. BoneView Bone Age offers the convenience and efficiency to simplify radiology workflows.
Patients, clinicians, and radiologists with accurate bone age diagnosis.
Our own experience at Radailogy
Any medical professional anywhere in the world can request bone age analysis at any time by quickly and easily uploading radiographs of the hand to Radailogy.
We found that BoneView Bone Age estimates are accurate and reasonably support our own radiological findings. We observed a very satisfactory inter- and intravariability with the integration of BoneView Bone Age.
The software is currently not suitable for determining bone age from the age of 18 and we are waiting for the AI to evaluate the sternoclavicular joints with computed tomography.
The scientific evidence
Nguyen T, Pourchot A, Marty V, Ventre J, Regnard NE. Deep learning algorithm to predict Greulich and Pyle bone age. ESPR 2022 (June).
Data to upload to Radailogy
Digital radiography of the hand a.p. for the age group from three to 17 years