Article

To RAG, or Not to RAG? A Comparative Evaluation of Retrieval-Augmented Generation for ICD Coding of German Tumor Diagnoses

2026-06-03

Abstract excerpt

<h4>Introduction</h4> Coding tumor diagnoses from free-text clinical documentation currently requires substantial manual effort. Promising approaches for automating this process include large language models (LLMs), embedding models, and retrieval-augmented generation (RAG). While previous studies often focus on a single method, we directly compare these approaches on a real-world dataset of tumor diagnosis descr...

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Literature Corpus work: 88f60866-a098-5104-b828-a475b56e2812
DOI: 10.64898/2026.05.27.26353695

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