Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models

Although LLMs demonstrate promising capabilities as support systems for expert-guided pathology coding, their performance is not yet sufficient for fully automated, unsupervised use in routine clinical workflows. LLMs showed poor performance on rare conditions, heavy dependence on contextual information, and substantially lower scores for morphology versus topography classification.