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There are medical imaging software that can analyze MRI and CAT scan results to identify abnormal internal structures. However, these software work by comparing the degree of similarity between the image of the patient and an expected image rather than exact identity. After all, there is no exact internal structure. Software systems such as these can be modified to minimize false negatives, that is negative results in patients with an internal disease, but doing so may increase the likelihood of false positives, that is positive results in patients with no internal disease.

Which of the following conclusions is most strongly supported by the information above?


A. If these software were made to work by exact identification, they would not produce any incorrect results.-----> We dont know about the exact identification impact. There is no exact identity as mentioned so nothing is mentioned about its usefulness! Eliminate

B. Doctors choosing a method to analyze MRI and CAT scans for abnormal structures should base the choice solely on the ratio of false positives to false negatives.----> Very extreme choice. We cant imply from the passage that doctors need to base SOLELY. Eliminate

C. These software are only appropriate in situations in which a false positive in identifying an abnormal structure is less dangerous than failing to identify an abnormal structure is.----> Again abit extreme. USage of ONLY jumps at me. May be it could be appropriate in situations where they conduct double tests so it might work.

D. Manual analysis of MRI and CAT scans is less likely than software-based analysis to produce a false positive in identifying an abnormal structure.----> Nothing given about manual scan so we dont know. Out of scope.

E. If these software reliably prevent negative results in patients with an internal disease, they may sometimes produce false positive results.-----> This seems reasonable!! Correct
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Hello from the GMAT Club VerbalBot!

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