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Status: Unchecked ×Keyword: biomedical knowledge integration ×Clear all

3 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Biomedical Text Mining and Ontologies

   Use of SNOMED CT in Large Language Models: Scoping Review

   Chang and Sung · JMIR Medical Informatics · 2024

   A scoping review of 37 studies from 2018 to 2023 examined how the SNOMED CT medical vocabulary is built into large language models and whether this improves their performance.

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   1. UncheckedA scoping review of 37 studies found three ways of integrating SNOMED CT into LLMs, most often by adding it to the model's inputs (28 of 37).“Three main approaches for integrating SNOMED CT were identified: (1) incorporating SNOMED CT into LLM inputs (28/37, 76%), primarily using concept descriptions to expand training corpora; (2) integrating SNOMED CT into additional fusion modules (5/37, 14%); and (3) using SNOMED CT as an external kn…”
   2. UncheckedAmong 37 reviewed studies that added SNOMED CT to large language models, medical concept normalization was the most common end task, at 15 studies (41%).“The most frequent end task was medical concept normalization (15/37, 41%), followed by entity extraction or typing and classification.”
   3. UncheckedIn this review, 17 of 19 studies that compared performance reported gains from adding SNOMED CT to language models, but only 19 of 37 made direct comparisons.“While most studies (17/19, 89%) reported performance improvements after SNOMED CT integration, only a small fraction (19/37, 51%) provided direct comparisons.”