By using “Big Data” we can address clinical problems. Analyzing the massive amount of clinical information that is available in digital format will make it possible to create a rapid learning health care system in which we develop, validate and update predictive tools to assist clinicians in personalizing treatment. Yet, some hurdles have to be taken. Besides technological, privacy and security issues, the most important bottleneck is the quality of the available clinical data. Consistency of datasets among centers is essential to compare and use them for modelling purposes, for instance. Therefore, standardised atlases are essential. The atlases that are provided here are listed below.
|Atlas for the delineation for organs-at-risk in NSCLC||10.17195/candat.2017.04.1||2018-05-11|
|EPTN International Neurological Contouring Atlas||10.17195/candat.2017.08.1||2021-03-01|
|EPTN International Neurological Contouring Atlas - 2021 Update||10.17195/candat.2021.02.1||2021-05-31|