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  4. Generative artificial intelligence in ophthalmology research writing: A comprehensive review of applications, detection tools, and ethical considerations.
 
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Generative artificial intelligence in ophthalmology research writing: A comprehensive review of applications, detection tools, and ethical considerations.

Journal
Taiwan journal of ophthalmology
Journal Volume
16
Journal Issue
1
Start Page
68
End Page
80
ISSN
2211-5072
Date Issued
2026
Author(s)
Cheng, Pin-Jung
Hu, Fang-Yu
Chen, Le-Yu
Liu, Jen-Yu
Wu, Jo-Hsuan
WEI-LI CHEN  
DOI
10.4103/tjo.TJO-D-25-00072
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/739258
Abstract
The rise of generative artificial intelligence (GenAI) has profoundly influenced medical research and academic writing, particularly in ophthalmology. Despite its growing relevance, there is a noticeable gap in the literature regarding its application in medical writing, including practical uses and associated limitations. This review seeks to fill in this gap by first systematically reviewing the current literature on GenAI in medical paper writing. It identifies and discusses nine key applications and considerations, including idea generation, literature review, institutional review board preparation, data collection, data analysis, image generation, manuscript drafting, writing refinement, and peer review. In the second part, we explore publicly available AI tools that currently assist with medical manuscript writing. We also introduce several generative AI detection tools and discuss their accuracy and reliability. Finally, the review addresses the limitations and ethical challenges associated with the use of GenAI in medical paper writing. While GenAI has streamlined many aspects of medical paper writing, and an increasing number of AI tools have been developed for research, significant model limitations and ethical concerns persist, necessitating careful human oversight and clear guidelines. By providing a comprehensive yet focused overview, this article offers valuable insights into the effective use of GenAI in medical paper writing while acknowledging its limitations and risks. It aims to support researchers in producing high-quality, AI-enhanced publications in the field of ophthalmology.
Subjects
Artificial intelligence
generative artificial intelligence
medical writing
ophthalmology
Type
journal article

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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