Radiomics

Radiomics is the study of information hidden in imaging exams that machine algorithms are trained to identify to help doctors more accurately diagnose patients, stage cancers, determine optimum therapies, predict patient outcomes or their risk level choose the radiation therapy dose level of risk. The field of medical study extracts large amounts of quantitative features from medical images using data characterization algorithms. These features, called radiomic features, may be able to uncover disease characteristics that fail to be appreciated by the naked eye. It is expected this field will be dominated by artificial intelligence software in the coming years.