Large language models can extract metadata for annotation of human neuroimaging publications

Large language models can extract metadata for annotation of human neuroimaging publications

We show that recent (mid-to-late 2024) commercial large language models (LLMs) are capable of good quality metadata extraction and annotation with very little work on the part of investigators for several exemplar real-world annotation tasks in the neuroimaging literature. We investigated the GPT-4o...

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Bibliographic Details
Main Authors: Matthew D. Turner, Abhishek Appaji, Nibras Ar Rakib, Pedram Golnari, Arcot K. Rajasekar, Anitha Rathnam K V, Satya S. Sahoo, Yue Wang, Lei Wang, Jessica A. Turner
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Neuroinformatics
Subjects:
large language models
metadata annotation
information extraction
human neuroimaging
ontologies
document annotation
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2025.1609077/full
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