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

Hina RajaAsim MunawarNikolaos MylonasMohammad DelsozYeganeh MadadiMuhammad ElahiAmr K HassanHashem Abu SerhanOnur İnamLuis HernandezHao ChenSang TranWuqaas M MunirAlaa Ali Abd-AlrazaqSiamak Yousefi
Published in: JMIR formative research (2024)
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.
Keyphrases
  • healthcare
  • artificial intelligence
  • high throughput
  • electronic health record
  • social media