Key points are not available for this paper at this time.
Generative artificial intelligence (AI) refers to algorithms that can be used to create new content, such as text, code, images, videos, and audio.Particularly, with the introduction of generative adversarial networks (GAN) in medical imaging 1,2, generative AI has gained significant attention in the scientific community, leading to numerous publications in the past few years.The Korean Journal of Radiology (KJR) has published several articles on this topic 345.However, the landscape of generative AI in scientific research and publication has dramatically shifted with the emergence of generative large language models (LLMs), such as ChatGPT, which are capable of generating text that closely resembles human writing and easily accessible to the public.The use of LLMs is rapidly expanding in scientific publications 6, creating ethical and legal concerns and challenges related to research integrity, plagiarism, copyright infringement, and authorship, not only for authors, but also for peer reviewers and editors 789.Moreover, these concerns and challenges
Seong Ho Park (Sun,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: