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An additional benefit of flow cytometry is that automated methods are available that allow the rapid acquisition and processing of diagnostic data, meaning that its use may not lead to significant time expenditures from the clinicians or researchers if it is used to supplement conventional cytology routinely [ 30].
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However, digital radiography also poses risks: increase in patient dose may go unnoticed because increased dose no longer leads to overexposed films, and suboptimum image processing may lead to suppression of diagnostic information.
No changes in the population at risk, standards of collection and processing of biologic material, and diagnostic capabilities in the mycology laboratory occurred during the study period.
The observed differences in diagnostic associations between populations may thus be due more to the lack of power to define the LRs more precisely, rather than due to any real difference in diagnostic processing of such RfEs.
An extensive literature search failed to reveal any pre- or post-processing package for the creation of diagnostic graphics based upon the use of ADAPT 5 outputs.
Particularly interesting will be the extension of our dual processing model to include the use of diagnostic tests as the number of new diagnostic technologies continues to explode.
However, digital radiography also poses risks, such as unnoticed increases in patient dose and suboptimum image processing that may lead to suppression of diagnostic information.
Thus, with cell-block processing, the diagnostic yield of EBUS-TBNA rose from 72.9%to80%0%.
DNA extraction automation is a major concern in molecular diagnostic where processing of numerous and daily samples of blood represent a labor-intensive task and are difficult to automate.
By adding the processing of induced sputum to the diagnostic algorithm of chronic cough, Brigthling et al. found that eosinophilic bronchitis was an important cause of chronic cough in 13% of patients [ 31].
They give standardized information about a patient's psychopathology [ 18], and could reduce both the time and the tremendous financial cost of processing and analyzing diagnostic data [ 19].
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