Development and validation of an artificial intelligence-based model for predicting teicoplanin plasma concentrations in intensive care unit patients with pulmonary infections: a retrospective study

This study developed a TabNet model based on real-world data, which can accurately and interpretably predict the teicoplanin plasma concentration of patients with pulmonary infection in the ICU. The derived online prediction tool provides references for the application of artificial intelligence-assisted precision medicine in antibacterial treatment and the optimization of drug monitoring for ICU patients.