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An increasing number of parameters can be considered when making decisions in oncology. Tumor characteristics can also be extracted from imaging through the use of radiomics and add to this wealth of clinical data. Machine learning can encompass these parameters and thus enhance clinical decision as well as radiotherapy workflow. Methods: We performed a description of machine learning applications at each step of treatment by radiotherapy in head and neck cancers. We then performed a systematicdoi:10.3389/fonc.2019.00174 pmid:30972291 pmcid:PMC6445892 fatcat:6e7adsrt2fclfklzsi3ljqmtny