Neural network for natural language processing to determine treatment urgency in an ophthalmology emergency department
A neural network was developed to identify treatment urgency based on natural language data and checkbox questions which could complement the initial assessment. Future studies could focus on validation and improving accuracy, as well as integrating the network into workflows and discussing ethical implications.
Authors
- Carolin Elhardt (ORCID: https://orcid.org/0000-0002-4994-2985)
- Armin Wolf (ORCID: https://orcid.org/0000-0002-6991-2214)
- Christian Wertheimer (ORCID: https://orcid.org/0000-0002-7017-7560)
- Anna Hillenmayer (ORCID: https://orcid.org/0000-0001-9433-3292)
- Bjoern Lofi
- Sabrina Langhans
Institutions
- University Hospital Ulm (DE)
Publication Details
- Journal
- British Journal of Ophthalmology
- Published
- 2025-08-17
- DOI
- https://doi.org/10.1136/bjo-2025-327824
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00