Insightful visions – Artificial intelligence large language models in scientific writing

Abstract

In the realm of ophthalmic research, the integration of artificial intelligence (AI) is burgeoning, promising a revolution in how scientific knowledge is written and disseminated. This article explores the burgeoning role of AI, particularly Large Language Models (LLMs), such as OpenAI's GPT series, in easing scientific writing processes within ophthalmology. We delve into the potential of AI LLMs to generate clear and concise text, simplify literature reviews, facilitate collaborative writing, enhance accessibility, and address ethical considerations. Additionally, we examine the emerging capabilities of AI LLMs in generating images and PowerPoint presentations, acknowledging their potential while highlighting current limitations and ethical concerns. Through practical insights and examples, this article underscores the transformative impact of AI LLMs on scientific writing in ophthalmology, advocating for responsible integration to propel research advancement and patient care.

Keywords

• artificial intelligence
• chatgpt
• gan
• generative adversarial networks
• google gemini
• large language model
• llm
• microsoft copilot
• publishing
• writing