News

Celebrating 50 BoneXpert publications on PubMed

Searching PubMed with “BoneXpert” yields 50 publications until the end of 2020.

Until 2017, there were 31 publications of which 18 were coauthored by Visiana.

In 2018-20, there were 19 publication, and none of the them were coauthored by Visiana, marking a shift towards independent validation studies.

30 of the 50 publications were on bone age, 5 were on adult height prediction and a surprisingly large number, 15, were on the Bone Health Index.

Explore the abstracts of these publications here: https://pubmed.ncbi.nlm.nih.gov/?term=bonexpert&filter=years.2009-2020

New Adult Height Predictor supports three ethnicities

The Bayley-Pinneau method for adult height prediction (AHP) from age, bone age and height was developed in 1952 based on American white children. In 2009, the method was modernised through the BoneXpert AHP based on automated bone age, better math and more recent Caucasian longitudinal studies.

We are happy to present an extension of the method to cover three major ethnicities: Caucasians, Asians and Africans.

Read more “New Adult Height Predictor supports three ethnicities”

BoneXpert Online: Automated bone age in your browser

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September 2020: New bone age reference curves from Taiwan

A new independent study has been published with bone age reference curves for healthy Taiwanese children.

Read more “September 2020: New bone age reference curves from Taiwan”

September 2020: Visiana expands and unveils new office space

We are happy to announce that Visiana have moved to a new, larger office on Fremtidsvej 1, not far from our old office, and still within the DTU Science Park.

Read more “September 2020: Visiana expands and unveils new office space”

August 2020: New bone age reference curves from Mexico

A new independent study has been published with bone age reference curves for healthy Mexican children

Read more “August 2020: New bone age reference curves from Mexico”

June 2020: Dutch paper on implementation of AI in radiology

European Radiology features an article from Utrecht UMC, investigating the adoption of BoneXpert and other AI methods in radiology in the Netherlands

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May 2020: BoneXpert – the most widespread AI radiology software in the Netherlands

The Diagnostic Image Analysis Group (DIAG) at Radboud University Medical Center in the Netherlands has created the site AI for Radiology listing 100 CE-marked, machine learning-based softwares for clinical use in radiology.

As part of this work, the group also inquired radiology departments in the Netherlands about their use of AI software – they found that BoneXpert is the most widely used such software, according to Kicky van Leeuwen, PhD candidate from Radboud Univ.

Read more “May 2020: BoneXpert – the most widespread AI radiology software in the Netherlands”