Back to search

Article

Semantic Encoding in Medical LLMs for Vocabulary Standardisation

2025-06-17

Abstract excerpt

High-quality, standardised medical data availability remains a bot-tleneck for digital health and AI model development. A major hurdle is translating noisy free text into controlled clinical vocabularies, aiming for harmonisation and interoperability, especially when source datasets are inconsistent or incomplete. We bench-mark domain-specific encoder models against general LLMs for semantic-embedding retrieval us...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
618952b4-8b1b-5321-8180-af5181878b87
DOI
10.1101/2025.06.16.25329716
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Semantic Encoding in Medical LLMs for Vocabulary StandardisationDOI 10.1101/2025.06.16.25329716
Select a neighboring publication to make it the new centre.