340P EAU guidelines bot vs hybrid LLM-rule-based system for non-metastatic prostate cancer risk classification and treatment recommendations: A comparative study

Abstract

The increasing complexity of clinical guidelines and physicians’ time constraints create an urgent need for robust clinical decision support systems. Much hope rests on the use of large language models (LLMs) but their non-deterministic nature poses significant risks. Combining LLMs with deterministic rule-based algorithms represents a promising alternative. This study compares the performance of a specialised urology LLM with a hybrid LLM-rule-based system for prostate cancer risk stratification and treatment selection.

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