Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study
BackgroundIn this paper, we present an automated method for article classification, leveraging the power of large language models (LLMs). ObjectiveThe aim of this study is to evaluate the applicability of various LLMs based on textual content of scientific ophthal...
Main Authors: | Hina Raja, Asim Munawar, Nikolaos Mylonas, Mohammad Delsoz, Yeganeh Madadi, Muhammad Elahi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hernandez, Hao Chen, Sang Tran, Wuqaas Munir, Alaa Abd-Alrazaq, Siamak Yousefi |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2024-03-01
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Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2024/1/e52462 |
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