Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms.

As there is a need of regular monitoring of hepatic function in radiation-exposed people, our artificial intelligence-based predicting model random forest is proved accurate in prediagnosing alterations in liver enzymes.