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”
BoneXpert use dropped to 28% of the normal level in the period 23 March – 19 April. The following four weeks it rose to 45% of the normal level.
Read more “May 2020: Reduced use of bone age during Covid-19”
Clínica Alemana in Santiago, Chile, has been a customer of Visiana since 2018, performing 5900 BoneXpert analyses per year. The clinic took initiative to perform an independent validation study of BoneXpert’s GP bone age assessment, and this was published in Revista chilena de pediatría:
Read more “April 2020: BoneXpert in Chile”
RNSA (The Radiological Society of North America) organized a machine learning challenge in bone age rating in 2017. This article reviews the challenge and explains its crucial role in boosting performance of BoneXpert in terms of bone age ratings.
Read more “RSNA challenge boosts automated bone age ratings”