AI-supported methods demostrated to be superior for detecting anomalies in data. We applied different types of AI-supported analysis to BDX-MINI, showing that a supervides ML technique provides a better upper limit than traditional analysis, while an unsupervised algorithn offers a completerly unbiased prediction.