A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinics
Automating integrated analysis using pre-trained language models to aid in preoperative triaging could enhance accuracy and efficiency at scale, reducing manual review and provider burden.
Authors
- Onkar Litake (ORCID: https://orcid.org/0000-0002-5484-5290)
- Nicole Y. Xu (ORCID: https://orcid.org/0000-0001-9353-8819)
- Anika Sinha
- Minhthy N. Meineke
- Rodney Allanigue Gabriel (ORCID: https://orcid.org/0000-0003-4443-0021)
- Jeffrey Tully (ORCID: https://orcid.org/0000-0002-3537-6716)
- Marco Meyer (ORCID: https://orcid.org/0000-0003-4947-252X)
Institutions
- UC San Diego Health System (US)
- University of California San Diego (US)
Publication Details
- Journal
- Journal of Clinical Monitoring and Computing
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1007/s10877-025-01401-z
- Citations
- 1
- Primary Topic
- Music Therapy and Health
- Type
- article
- Field-Weighted Citation Impact
- 2.44