Aerial view of Radiology AI in the Netherlands
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.
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.
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.
They found that the most widely used methods are the ones shown here:
The most popular method is BoneXpert from Danish Visiana, used in 9 departments.
The second use case is detection of lung nodules in CT scans, used by 8 departments – the product Veye Lung Nodules was developed by the Dutch company Aidence (recently acquired by RadNet).
The third-most used method is stroke – left-ventricle occlusion or intracranial haemorrhage detection on CT and CT angiography – probably StrokeViewer from the Dutch vendor Nicolab.
The investigators also inquired about the obstacles for adopting AI and found that the most important were “cost” and “IT”. So, one can infer that the most widely used methods have a favourable balance between cost and benefit, and carry a low IT burden.
Only 3 departments reported use of an “AI platform”.
This talk was also highlighted by AuntMinnie
Note that the survey did not obtain 100% response rate, and indeed Visiana’s records show that there are 14 customers of BoneXpert in the Netherlands, each performing between 100 and 1300 analyses per year.
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The aim was to reveal to what extent radiologists have been replaced by BoneXpert when doing bone age assessment.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.
In April, Kicky van Leeuwen et al presented the paper Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. It got quite some attention, because it documents what many have suspected, namely, that most AI products lack sufficient publications.
European Radiology features an article from Utrecht UMC, investigating the adoption of BoneXpert and other AI methods in radiology in the Netherlands
Read more “Dutch paper on implementation of AI in radiology”
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 “BoneXpert – the most widespread AI radiology software in the Netherlands”