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大语言模型在眼科学术写作中的应用:伦理考量 界限模糊还是泾渭分明?

Large Language Models in Ophthalmology Scientific Writing: Ethical Considerations Blurred Lines or Not at All?

机构信息

From the Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.

From the Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.

出版信息

Am J Ophthalmol. 2023 Oct;254:177-181. doi: 10.1016/j.ajo.2023.06.004. Epub 2023 Jun 20.

DOI:10.1016/j.ajo.2023.06.004
PMID:37348667
Abstract

PURPOSE

To discuss the implications of large language models (LLMs) in ophthalmology research, as well as the associated ethical considerations.

DESIGN

Perspective.

METHODS

This discussion reviews the potential uses of LLMs such as ChatGPT in ophthalmology research, highlights the associated threats and ethical considerations, and proposes solutions for the use of LLMs in ophthalmology research and scientific writing.

RESULTS

With the increasing interest in LLMs, such as ChatGPT, their diverse utility has been widely explored, including their application in research and scientific writing. LLMs have the potential to guide researchers throughout the different stages of their research, from idea generation to drafting a scientific piece. However, there are significant ethical concerns and challenges related to scientific integrity in ophthalmology research that should be addressed by scientific journals. Our review of the 10 highest-impact-factor ophthalmology journals revealed that the number of journals addressing this topic in their submission guidelines is rapidly increasing. Therefore, we propose certain domains that all journals should consider regarding the use of LLMs in research.

CONCLUSIONS

As LLMs continue to improve, their use in scientific writing will remain a contentious issue due to the ethical dilemmas involved in determining the appropriate scope of their use. This article reviews the ethical dilemmas related to the use of LLMs in ophthalmology research and calls for the prompt development of guidelines for their ethical use in manuscript writing as ophthalmology journals update their editorial policies with respect to LLMs.

摘要

目的

讨论大型语言模型(LLMs)在眼科学研究中的意义,以及相关的伦理考虑。

设计

观点。

方法

本讨论回顾了 ChatGPT 等 LLM 在眼科学研究中的潜在用途,强调了相关的威胁和伦理考虑,并提出了在眼科学研究和科学写作中使用 LLM 的解决方案。

结果

随着对 ChatGPT 等 LLM 的兴趣日益浓厚,其多样化的用途得到了广泛的探索,包括在研究和科学写作中的应用。LLM 有可能在研究的不同阶段指导研究人员,从想法的产生到科学论文的起草。然而,在眼科学研究中,存在着与科学完整性相关的重大伦理问题和挑战,这些问题应该由科学期刊来解决。我们对 10 种影响因子最高的眼科学期刊进行了回顾,发现越来越多的期刊在投稿指南中涉及到这一主题。因此,我们提出了所有期刊在研究中使用 LLM 时都应该考虑的某些领域。

结论

随着 LLM 的不断改进,由于在确定其使用的适当范围时涉及到的伦理困境,它们在科学写作中的使用仍将是一个有争议的问题。本文回顾了在眼科学研究中使用 LLM 所涉及的伦理困境,并呼吁迅速制定 LLM 用于手稿写作的伦理使用指南,因为眼科学期刊正在更新其关于 LLM 的编辑政策。

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Eye (Lond). 2025 Apr 1. doi: 10.1038/s41433-025-03779-1.
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Large Language Models in Ophthalmology: A Review of Publications from Top Ophthalmology Journals.眼科领域的大语言模型:顶级眼科期刊出版物综述
Ophthalmol Sci. 2024 Dec 17;5(3):100681. doi: 10.1016/j.xops.2024.100681. eCollection 2025 May-Jun.
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Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.
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J Med Internet Res. 2024 Nov 14;26:e60226. doi: 10.2196/60226.
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The policies on the use of large language models in radiological journals are lacking: a meta-research study.放射学期刊中关于使用大语言模型的政策尚不完善:一项元研究。
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Using ChatGPT for Clinical Practice and Medical Education: Cross-Sectional Survey of Medical Students' and Physicians' Perceptions.使用 ChatGPT 进行临床实践和医学教育:医学生和医生认知的横断面调查。
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