Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study
JMIR Formative Research2024Vol. 8, pp. e52462–e52462
Citations Over TimeTop 10% of 2024 papers
Hina Raja, Asim Munawar, Nikolaos Mylonas, Mohammad Delsoz, Yeganeh Madadi, Muhammad Elahi, Amr K. Hassan, Hashem Abu Serhan, Onur İnam, Luis Hernandez, Hao Chen, Sang Tran, Wuqaas M. Munir, Alaa Abd‐Alrazaq, Siamak Yousefi
Abstract
The proposed framework achieves notable improvements in both accuracy and efficiency. Its application in the domain of ophthalmology showcases its potential for knowledge organization and retrieval. We performed a trend analysis that enables researchers and clinicians to easily categorize and retrieve relevant papers, saving time and effort in literature review and information gathering as well as identification of emerging scientific trends within different disciplines. Moreover, the extendibility of the model to other scientific fields broadens its impact in facilitating research and trend analysis across diverse disciplines.
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