Using Natural Language Processing to Automate Screening of Abstracts for Neurosurgical Guideline Creation
We have developed novel LLM pipelines to automate abstract screening for neurosurgical guideline creation. This technology can reduce the time necessary for abstract screening processes from several weeks to a few hours. While further validation is required, this process could pave the way for evidence-based guidelines to be continuously updated in real time across medical fields.
Authors
- David F. Bauer (ORCID: https://orcid.org/0000-0003-3548-0887)
- Vijay Nitturi (ORCID: https://orcid.org/0000-0002-8310-3077)
- Álex Flores
Institutions
- Baylor College of Medicine (US)
- Texas Children's Hospital (US)
Publication Details
- Journal
- Neurosurgery
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1227/neu.0000000000003450
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Texas Children's Hospital