Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study.
Raja H, Munawar A, Mylonas N, Delsoz M, Madadi Y, Elahi M, Hassan A, Abu Serhan H, Inam O, Hernandez L, Chen H, Tran S, Munir W, Abd-Alrazaq A, Yousefi S.
Raja H, et al.
JMIR Form Res. 2024 Mar 22;8:e52462. doi: 10.2196/52462.
JMIR Form Res. 2024.
PMID: 38517457
Free PMC article.
RESULTS: The classification results demonstrate the effectiveness of LLMs in categorizing a large number of ophthalmology papers without human intervention. The model achieved a mean accuracy of 0.86 and a mean F(1)-score of 0.85 based on the RenD data set. CONCLUSIONS: Th …
RESULTS: The classification results demonstrate the effectiveness of LLMs in categorizing a large number of ophthalmology papers without hum …