Imputation and prediciton modelling

Hello everyone,

While I am not expert in data analysis, I use statistical approach in my daily tasks a lot. However, I see various studies on prediction of a specific outcome via log reg, ML models etc. And eventual comparison of the model performances.

In addition to that I see many datasets underwent imputation via MICE imputation. At this point, I am curious about if such an approch would mistakenly increase the performance of log reg based ML model since MICE imputation fills the missing values by incorporating regression model. Therefore, making the patterns easier for log reg model to capture. What do you think at this point? Any clarification greatly appreciated !!