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This paper is in the following e-collection/theme issue:

Natural Language Processing (1251) Clinical Informatics (2196) Clinical Information and Decision Making (3609) Methods and Instruments in Medical Informatics (402) Ontologies, Classifications, and Coding (424) Artificial Intelligence (4625) Ambient AI Scribes and AI-Driven Documentation Technologies (102)

Published on in Vol 14 (2026)

This is a member publication of Bodleian Libraries (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94241, first published .
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Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study

Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study

Authors of this article:

Yngve Mikkelsen1 Author Orcid Image
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Journals

  1. Mikkelsen Y. Effects of Model Choice, Corpus Context, and Post Hoc Correction on Layer-Level Embedding Degradation in Clinical Document Retrieval: Experimental Study. JMIR Medical Informatics 2026;14:e99639 View