Imputation of missing data by R MICE

I have completed the process in terms of reaching the end of the steps I've found on numerous tutorial sites/videos however I'm not quite satisfied - how does 10 different imputation datasets and a pooled step-wise regression model give me the final dataset? None of the tutorials address this question. Perhaps its obvious to you guys.