| 摘要 |
A training method for improving diagnostic accuracy and reducing variability in the interpretation of radiologic exams. Exam images, whether presented on radiographic film, on photographic paper, or on a computer monitor, are interpreted using standardized feature descriptors, such as in BI-RADS. The exam interpreter uses the feature descriptors to characterize findings in exam images and provides an assessment and conclusion concerning the presence of biologic processes that would have caused the image finding. Evidence for the presence or absence of these biologic processes is obtained. Measures of diagnostic accuracy are calculated from these data and all this information is tracked and associated with the exams. Subsequent to image interpretation, exam findings and tracked data are reviewed in a case-based manner to teach the image interpreter to better understand the relationship between features and the biologic processes that they are associated with, thereby improving the interpreter's diagnostic accuracy and reducing variability in their characterization of image findings. Repetitive use of this method further improves diagnostic accuracy and reduces variability in the characterization of image findings.
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