Visiana welcomes Ruby Hall Clinic as a BoneXpert customer. Ruby Hall Clinic is a flagship hospital in Pune, India, providing healthcare through a system of 3 hospitals and 24 diagnostic centres.
Read more “Ruby Hall Clinic uses BoneXpert software”
In a new, open access paper in European Radiology, Kicky van Leeuwen and a team from Nijmegen surveyed which AIs are actually used in radiology departments in the Netherlands in 2022.
Bone Health Index is significantly lower in children with vertebral fractures than in children without.
BoneXpert has been installed in more than 80% of the major hospitals in the United Kingdom.
Read more “Widespread use of BoneXpert in the United Kingdom”
The accuracy of bone age determination by BoneXpert and Panda in 188 images was reported at ECR.
Federica Zanca from Leuven, together with four co-authors from Switzerland, presented a study comparing two bone age algorithms, BoneXpert from Visiana and Panda (based on deep learning) from ImageBiopsyLab. The study included 188 images taken under real-world conditions across 11 centres in Switzerland. The ground truth was provided by an exceptionally reliable manual rater. BoneXpert’s intended use includes autonomous use, while Panda’s is intended to only assist the radiologist. However, in this study, both algorithms were used without human interference.
The mean absolute deviation between the algorithm and the ground truth was 0.36 y for BoneXpert and 0.42 y for Panda, and this difference was significant with p=0.01.
In the Bland Altman plots below one can clearly see that the agreement is better with BoneXpert.
Figure 1: BoneXpert versus radiologist
Figure 2: Panda versus radiologist
The plots reveal that there are markedly fewer large deviations with BoneXpert.
So what is the clinical signficance of the different performance? The authors adressed this by defining the clinically acceptable limit of agreement to be ±1 year, and they found twice as many such significant deviations for Panda.
The table below summarises all the findings.
The poster is available though myESR (requiring log in)
Table: The deviation between the bone age algorithm and the radiologist
| BoneXpert | Panda | |
| Mean Absolute Deviation | 0.36 y | 0.42 y |
| Root Mean Square Deviation | 0.47 y | 0.55 y |
| Number of deviations > 1 y | 7 | 14 |
| Largest deviation | 1.2 y | 1.9 y |
At ECR, Kicky van Leeuwen of Radboud University Medical Center gave the talk “The rise of artificial intelligence solutions in radiology departments in the Netherlands”.
Van Leeuwen and her co-workers have asked the 69 radiology departments in the Netherlands about their adoption of AI.
Read more “BoneXpert – the most widely used radiology AI in the Netherlands in 2022”
A new paper documents BoneXpert’s accuracy and self-validation Read more “BoneXpert knows its own limitation”
A questionnaire was sent out to 282 radiologists in Europe using BoneXpert.
The aim was to reveal to what extent radiologists have been replaced by BoneXpert when doing bone age assessment. The result of the survey has now been published as an open access article in Pediatric Radiology. The original questionnaire is in the supplementary information.
The US patent office has granted Visiana a patent for the invention of an image processing method.
A key element of BoneXpert is to locate each bone accurately as a first step in the bone age analysis. Visiana has invented a new method to locate a landmark, e.g. the tip of a bone. About 100 examples are needed for the machine learning method, which trains a decision tree to predict the location from a nearby image patch. The predictions from more than 300 patches are placed in a voting map, and the peak of votes yields the landmark location with subpixel accuracy. The figure shows the voting map for finding the tip of a distal phalanx.
The invention could also be useful in land vehicles and smartphones.
With the implementation of BoneXpert at the University Hospital in Innsbruck in Austria, there are now over 200 departments, who have licensed BoneXpert, each performing between 100 and 6000 analyses per year.
The driving force of this growth of the installed base is the BoneXpert Server Edition with its easy installation, easy maintenance, and excellent workflow