To address these challenges, we developed a deep learning neural network model for charge state assignment. Machine learning (ML) and artificial intelligence (AI) approaches have been used in MS data analysis for a range of applications. For example, AI/ML has been used in imaging MS segmentation and in peptide fragmentation prediction. It has also been used for isotope cluster grouping and isotope envelope scoring. However, we are not aware of any approaches using AI/ML for charge state assignment.