Lights and shadows of new models in the health-care research: artificial intelligence's role in crafting healthcare research papers

Abstract

Generative artificial intelligence (AI) refers to algorithms that can be used to produce new content, such as text, regulations, images, videos and audio. The background of generative AI in the field of scientific research and publication has significantly shifted with the appearance of generative large language models, such as ChatGPT. ChatGPT represents an AI language model that can produce text close to human writing, making it appropriate for tasks such as summarizing literature and producing statistical studies. The release of ChatGPT has made a substantial influence in the academic world and it has become comprehensible that such technology will notably impact the method of working of researchers. Since its beginning, ChatGPT has been mentioned in several preprints and published articles with authorship credits. This has spawned a large discussion about the function of AI tools in published literature and whether they need to be recognized as authors among journal editors, academics and publishers. Specific guidelines will support the correct use of generative AI, which may be able of future activities such as experiment design and peer review, and facilitate the distribution of important scientific information through publications avoiding any types of scientific misconduct.