Key points are not available for this paper at this time.
ChatGPT is a language model developed by OpenAI that uses the natural language processing (NLP) technique of autoregressive transformation (Transformer) to generate coherent and natural responses to questions or comments in real time. One way ChatGPT could be useful in scientific communication is as a tool to help communicate research in a clearer and more accessible way to the general public. Another way in which this artificial intelligence (AI) could be useful is as a tool to help scientists and academics keep up to date with the latest research and developments in their field of work. Especially ChatGPT could be used to compile and abstract scientific articles and other relevant publications in an automated way, which could help scientists save time and effort in having to read and analyze each article themselves. A crucial element in some types of studies, literature synthesis, whether for a narrative or overview review, the use of ChatGPT would allow to generate research abstracts or summaries more efficiently, or even to write sections of a scientific article that require less critical analysis or interpretation. However, writing a full scientific article requires a thorough knowledge of the research field and the ability to critically analyze and synthesize data. This is something that can only be done effectively through the work and effort of a human being.
William Castillo‐González (Wed,) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: