PRIMAGE is one of the largest and more ambitious research projects dealing with medical
imaging, artificial intelligence and cancer treatment in children. It is a 4-year European …

Abstract Machine learning algorithms can help to improve the accuracy and efficiency of
cancer diagnosis, selection of personalized therapies and prediction of long-term outcomes …

Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and
neuro-oncological disease. Employing multi-parametric MRI techniques, such as …

The causes of pediatric cancers' distinctiveness compared to adult-onset tumors of the same
type are not completely clear and not fully explained by their genomes. In this study, we …

Advances in computerized image analysis and the use of artificial intelligence–based
approaches for image-based analysis and construction of prediction algorithms represent a …

PURPOSE Several studies have indicated that broad genomic characterization of childhood
cancer provides diagnostically and/or therapeutically relevant information in selected high …

The purpose of this manuscript is to provide an overview of the technical specifications and
architecture of the Ca ncer imaging P henomics T ool k it (CaPTk www. cbica. upenn …

The CHAIMELEON project aims to set up a pan-European repository of health imaging data,
tools and methodologies, with the ambition to set a standard and provide resources for …

Oncological diseases account for a significant portion of the burden on public healthcare
systems with associated costs driven primarily by complex and long-lasting therapies …

Artificial intelligence (AI) has received widespread and growing interest in healthcare, as a
method to save time, cost and improve efficiencies. The high-performance statistics and …