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Current Applications and Future Impact of Machine Learning in Radiology
2018
Radiology
Preserved Fulltext
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 machine
doi:10.1148/radiol.2018171820
pmid:29944078
pmcid:PMC6542626
fatcat:vrf37sksivfkph47qdicwzeqge