Medical NLP, terminologies & ontologies
LLM-augmented semantic embeddings for cross-lingual mapping of medical procedure terms and standardisation across clinical terminologies.
Clinical data is fragmented across languages, terminologies, and coding systems. This line of work uses large-language-model-augmented semantic embeddings to map medical-procedure terms across languages and standard ontologies, supporting interoperability of electronic-health-record data for downstream research and clinical decision support.
Selected publications
- Guillen-Ramirez, H. et al. LLM-augmented semantic embeddings enable cross-lingual mapping of medical procedure terms. Scientific Reports (2026). doi:10.1038/s41598-025-34778-7