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Recent advances and future perspectives of machine learning techniques offer promising applications in medical imaging. Machine learning has the potential to improve different steps of the radiology workflow including order scheduling and triage, clinical decision support systems, detection and interpretation of findings, postprocessing and dose estimation, examination quality control, and radiology reporting. In this article, the authors review examples of current applications of machinedoi:10.1148/radiol.2018171820 pmid:29944078 pmcid:PMC6542626 fatcat:vrf37sksivfkph47qdicwzeqge