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.

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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

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article

Using Natural Language Processing to Automate Screening of Abstracts for Neurosurgical Guideline Creation

David F. Bauer, Vijay Nitturi, Álex Flores
Neurosurgery
Artificial Intelligence in Healthcare and Education
article

Using Natural Language Processing to Automate Screening of Abstracts for Neurosurgical Guideline Creation

David F. Bauer, Vijay Nitturi, Álex Flores
article en

Abstract

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.

NeurosurgeryVol. 97(3)
Baylor College of Medicine (US), Texas Children's Hospital (US)
Texas Children's Hospital
Reduced inequalities
Openalex Percentile: Top 95%
Artificial Intelligence in Healthcare and Education
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