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Article

Automatic ICD coding using LLMs: a systematic review

2025-07-30

Abstract excerpt

<h4>Background</h4> Manual assignment of International Classification of Diseases (ICD) codes is error-prone. Transformer-based large language models (LLMs) have been proposed to automate coding, but their accuracy and generalizability remain uncertain. <h4>Methods</h4> We performed a systematic review registered with PROSPERO (CRD42024576236) and reported according to PRISMA guidelines. PubMed, Embase, and Goog...

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Literature Corpus work
e09b6377-d922-5406-be7e-a795150827b4
DOI
10.1101/2025.07.30.25330916
Open publication

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Automatic ICD coding using LLMs: a systematic reviewDOI 10.1101/2025.07.30.25330916
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