Currently, image analysis software is used daily. For example, at airports, for automatic face recognition. However, the millions of medical images that are produced every day, are mainly analyzed in a manual and semi-quantitative manner. However, the human eye is not infallible and important information may be missed.
Medical imaging has become the cornerstone of modern medicine, however many diseases cannot be detected by the human eye or properly assessed. Given the shortcomings in manual and semi-quantitative methods, it was necessary to develop an approach known as “Radiomics”. Radiomics is a breakthrough technology based on a unique image software to extract and obtain very large amounts of quantitative image features from standard medical images and translate them into “Radiomics signatures”. (see animation on our website www.radiomics.org).
Moreover, it is a method that is based on the principle of “distributed learning”, which respects the privacy laws concerning patient information, thereby enabling an approach called “Big Data”. (Look at our animation). With this technology we can now share Radiomics knowledge with the world whilst being in full compliance with legislation on the protection of privacy. This technology enables the analysis of millions of medical images without the data physically leaving the hospital/clinic/institute, thereby resolving possible privacy protection issues. This innovative approach will allow us to systematically improve, update and further develop Radiomics signatures. This will strengthen the strategic position of the European regional partners
concerned. The goal of this project is to continually provide sustainable marketing and product development for radiomics – a concept born in the Euroregion, but now with a global impact – and that the analysis of medical image will be applied in the clinic as a standard of care. Additionally, radiomics signatures will be integrated into multifactorial decision support for both physicians and patients for “precision medicine”, both personal and participatory, resulting in better care at lower costs.