Liu J, Zeng P, Guo W, et al. - A retrospective was conducted to create and test a magnetic resonance imaging (MRI)‐based radiomics model for predicting a high‐risk cytogenetic (HRC) status in multiple myeloma (MM) patients. Researchers enrolled a total of 89 MM patients (HRC [n: 37] and non‐HRC [n: 52]). For evaluation of HRC in MM, the LR‐based machine learning method seems superior to other classifier methods. It has been reported that in MM, radiomics features based on two‐sequence MRI indicated good performance in differentiating HRC and non‐HRC statuses.