This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (630) Clinical Information and Decision Making (1634) Scientometrics, Infometrics, and Altmetrics (107) Natural Language Processing (794) Artificial Intelligence (1702) Ontologies, Classifications, and Coding (268)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52462, first published .
Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study

Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study

Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study

Authors of this article:

Hina Raja1 Author Orcid Image ;   Asim Munawar2 Author Orcid Image ;   Nikolaos Mylonas3 Author Orcid Image ;   Mohammad Delsoz1 Author Orcid Image ;   Yeganeh Madadi1 Author Orcid Image ;   Muhammad Elahi4 Author Orcid Image ;   Amr Hassan5 Author Orcid Image ;   Hashem Abu Serhan6 Author Orcid Image ;   Onur Inam7, 8 Author Orcid Image ;   Luis Hernandez9 Author Orcid Image ;   Hao Chen1, 10 Author Orcid Image ;   Sang Tran11 Author Orcid Image ;   Wuqaas Munir11 Author Orcid Image ;   Alaa Abd-Alrazaq12 Author Orcid Image ;   Siamak Yousefi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Tan T, Quek C, Wong J, Ting D. A look at the emerging trends of large language models in ophthalmology. Current Opinion in Ophthalmology 2025;36(1):83 View
  2. Gencer G, Gencer K. Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends. Journal of Multidisciplinary Healthcare 2025;Volume 18:223 View