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

Development and Evaluation of Research Methods, Instruments and Tools (746) Clinical Information and Decision Making (1919) Scientometrics, Infometrics, and Altmetrics (123) Natural Language Processing (917) Artificial Intelligence (2136) Ontologies, Classifications, and Coding (324)

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 (8) 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
  3. Scherbakov D, Hubig N, Jansari V, Bakumenko A, Lenert L. The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. Journal of the American Medical Informatics Association 2025;32(6):1071 View
  4. Sburlan D, Sburlan C, Bobe A. Tech Trend Analysis System: Using Large Language Models and Finite State Chain Machines. Electronics 2025;14(11):2191 View
  5. Artiaga J, Guevarra M, Sosuan G, Agnihotri A, Nagel I, Kalaw F. Large language models in ophthalmology: a scoping review on their utility for clinicians, researchers, patients, and educators. Eye 2025;39(15):2752 View
  6. Zhang Z, Zhang H, Pan Z, Bi Z, Wan Y, Song X, Fan X. Evaluating Large Language Models in Ophthalmology: Systematic Review. Journal of Medical Internet Research 2025;27:e76947 View
  7. Sørensen M, Horbach S, Dorofeeva O, Bak M. Using Generative Artificial Intelligence (GenAI) across different Research Phases – Cases, Potential and Risks. CFA Scientific Reports 2024;15(3):1 View

Conference Proceedings

  1. Abdeljaber L, Alatrush N, Alsarra S, Billah M, Alshammari A, Khan L. 2025 IEEE 13th International Conference on Healthcare Informatics (ICHI). Active Learning for Medical Text Classification: Insights from Ophthalmology and Broader Medical Domains View