Papers by Wenxuan Teng
Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications (2025.emnlp-industry)
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Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos, Phillip Swazinna, Miguel Del-Agua, Jerome Tremblay, Akila Jeeson Daniel, Cari Bader, Kevin Cho, Pooja Krishnan, Nathan Bodenstab, Thomas Lin, Wenxuan Teng, Francois Beaulieu, Paul Vozila
| Challenge: | Large language models (LLMs) have demonstrated strong performance on clinical natural language processing tasks across multiple medical benchmarks. |
| Approach: | They propose an agentic pipeline for generating realistic, non-sensitive nurse dictations, enabling structured extraction of clinical observations. |
| Outcome: | The proposed pipeline generates realistic, non-sensitive nurse dictations, enabling structured extraction of clinical observations. |