In most of the places, I have found that sensitivity=recall. In terms of the Confusion Matrix, the formula for both of these is the same: $TP/(TP+FN)$. Is there any difference between these two metrics? If not, then why does the same thing has a different name?
It is not uncommon that statistical tools have different origins and names, but same meaning.
The name sensitivity comes from the statistics domain as a measure for the performance of a binary calssification, while recall is more related to the Information Engineering domain.