The benefits of automated labeling are multifaceted. First, it significantly reduces the time required for manual labeling, allowing researchers to focus on more critical aspects of their work. It also enhances the accuracy and consistency of labeling, leading to more reliable data. Furthermore, automated systems can process large datasets, providing comprehensive analyses that would be impractical manually. This scalability is vital for large-scale studies and clinical applications.
