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EC acknowledges support from JAX Computational Sciences, JAX Cancer Center (JAXCC) and NCI CCSG (P30CA034196) and support from grant NSF 19-500, DMS 1918925/1922843.
While reviewing and discussing the potential of data science in oncology, we emphasize medical imaging and radiomics as the leading contextual frameworks to measure the impacts of Artificial Intelligence (AI) and Machine Learning (ML) developments. We envision some domains and research directions in which radiomics should become more significant in view of current barriers and limitations.