Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text

Purpose: Accurate CT protocol selection is critical for diagnostic quality and patient safety, yet the current process is manual, time-consuming, and prone to inconsistencies. Prior Machine Learning methods using keywords or bag-of-words lack contextual understanding and perform poorly on rare proto