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.

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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
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article

Re: Pushpanathan et al.: Can OpenAI’s New o1 Model Outperform Its Predecessors in Common Eye Care Queries?

Yusuke Kameda, Yutaka Kaneko, Shingo Takada
Ophthalmology Science
Retinal Imaging and Analysis
article

Re: Pushpanathan et al.: Can OpenAI’s New o1 Model Outperform Its Predecessors in Common Eye Care Queries?

Yusuke Kameda, Yutaka Kaneko, Shingo Takada
article en

Abstract

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.

Ophthalmology ScienceVol. 6(1)
Yamagata University (JP), Minamiaoyama Eye Clinic (JP)
Openalex Percentile: Top 58%
Retinal Imaging and Analysis
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