Mapping the Immediate Trajectory of Retinal Disease Research: A Large Language Model-Assisted Bibliometric Analysis
This study utilizes a large language model-assisted bibliometric analysis of highly cited 2023–2024 articles to reveal that retinal disease research is shifting from foundational imaging-based machine learning toward clinical diabetic retinopathy management, genomic studies, and deployed AI tools.