 Abstract background carbapenem-resistant Klebsiella pneumonii, CRKP, is a serious health threat due to its high mortality rate and difficulty in treating it. To address this issue, we developed an artificial neural network, ANN, model to identify CRKP from mass spectra obtained using matrix-assisted laser desorption ionization timer flight mass spectrometry, Malditov MS. We also identified 15 potential biomarkers in probable CRKP isolates. This model can be integrated into the current workflow of clinical laboratories to assist in the selection of appropriate antibiotics and reduce the prevalence of antimicrobial resistance. This article was authored by Yu Mingjong, my friend Xiao, Qing Yu Chang, and others.