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BoneAge

Automatic bone age assessment

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Radiology

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Workflow Improvement

Up to the three most likely bone age results with the highest
probabilities are presented by the software according to the most similar age groups (male: 31 groups, female: 27 groups) defined by the GP (Greulich-Pyle) method.

All doctors have to do is to click the most probable one among the top three options provided by the solution, being spared the time-consuming job of sifting through a reference book.

By providing detailed bone age results on a monthly basis through not only G.P. Atlas but also AI-based bone age results (VUNO Score), it assists in more accurate reading.

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Reduced reading time

The performance of the BoneAge software was validated by external clinical studies.

When implemented for a second opinion in daily clinical practice, radiologists' reading times were reduced by 29% on average without compromising the accuracy of bone age estimation.

Reading times were reduced by 18.0% and 40.0% for reviewers.

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Improved Reading Consistency


In addition to reading time reduction, VUNO Med-BoneAge improves reading consistency among doctors by more than 13%.

These concordance rates increased with the use of the product for both reviewer 1 (from 63.0% to 72.5%) and reviewer 2 (from 49.5% to 57.5%)

Almost all cases (93%) were within the Top 3 results suggested by VUNO Med®-BoneAge™ and 69.5% cases were Top 1.

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Automatic reporting

• Provides analytic information on whether the patient is within the normal range based on the BoneAge™ results and chronological age

• Easy to explain to patients as the report provides a visual graph on projected final height based on the results and patient information such as age, current height and gender

• Two types of reports: A short summary with analysis results only and a comprehensive report including all related information on height projection

Publications:

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Computerized Bone Age Estimation Using Deep Learning-Based Program: Evaluation of the Accuracy and Efficiency

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