Re: Pushpanathan et al.: Can OpenAI’s New o1 Model Outperform Its Predecessors in Common Eye Care Queries?
We read with great interest the recent article by Pushpanathan et al. evaluating the performance of OpenAI’s o1 model in ophthalmology-related queries1. The study provides timely insights into the growing role of large language models (LLMs) in clinical practice. While we found the study informative, we would like to raise two points—one regarding methodological clarity and another suggesting a possible direction for future research informed by clinical observations.
Authors
- Yusuke Kameda (ORCID: https://orcid.org/0000-0002-3963-1622)
- Yutaka Kaneko (ORCID: https://orcid.org/0000-0003-4700-9793)
- Shingo Takada (ORCID: https://orcid.org/0000-0002-1255-177X)
Institutions
- Yamagata University (JP)
- Minamiaoyama Eye Clinic (JP)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2025-10-10
- DOI
- https://doi.org/10.1016/j.xops.2025.100968
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00