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- W2810349670 abstract "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 learning and artificial intelligence techniques in diagnostic radiology. In addition, the future impact and natural extension of these techniques in radiology practice are discussed. © RSNA, 2018" @default.
- W2810349670 created "2018-07-10" @default.
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- W2810349670 date "2018-08-01" @default.
- W2810349670 modified "2023-10-16" @default.
- W2810349670 title "Current Applications and Future Impact of Machine Learning in Radiology" @default.
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