Background: Artificial intelligence (AI) has many applications in various aspects of our daily life, including health, criminal, education, civil, business, and liability law. One aspect of AI that has gained significant attention is natural language processing (NLP), which refers to the ability of computers to understand and generate human language. Objective: This study aims to examine the potential for, and concerns of, using AI in scientific research. For this purpose, high-impact research articles were generated by analyzing the quality of reports generated by ChatGPT and assessing the application’s impact on the research framework, data analysis, and the literature review. The study also explored concerns around ownership and the integrity of research when using AI-generated text. Methods: A total of 4 articles were generated using ChatGPT, and thereafter evaluated by 23 reviewers. The researchers developed an evaluation form to assess the quality of the articles generated. Additionally, 50 abstracts were generated using ChatGPT and their quality was evaluated. The data were subjected to ANOVA and thematic analysis to analyze the qualitative data provided by the reviewers. Results: When using detailed prompts and providing the context of the study, ChatGPT would generate high-quality research that could be published in high-impact journals. However, ChatGPT had a minor impact on developing the research framework and data analysis. The primary area needing improvement was the development of the literature review. Moreover, reviewers expressed concerns around ownership and the integrity of the research when using AI-generated text. Nonetheless, ChatGPT has a strong potential to increase human productivity in research and can be used in academic writing. Conclusions: AI-generated text has the potential to improve the quality of high-impact research articles. The findings of this study suggest that decision makers and researchers should focus more on the methodology part of the research, which includes research design, developing research tools, and analyzing data in depth, to draw strong theoretical and practical implications, thereby establishing a revolution in scientific research in the era of AI. The practical implications of this study can be used in different fields such as medical education to deliver materials to develop the basic competencies for both medicine students and faculty members.

This article aims to assist readers in understanding the current status of studies on the subject by providing a descriptive bibliometric analysis of publications on virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies in cultural heritage. A bibliometric analysis of 1214 publications in this discipline in the Scopus database between 2014 and the beginning of June 2024 was performed. We used VOSviewer and Bibliometrix as the analysis tools in this investigation. The outcome of this study provides a detailed overview of the descriptive bibliometric analysis based on seven categories, including the annual count of articles and citations, the most productive author, the primary affiliation, the publication source, and the subject areas. The contribution of this research lies in offering valuable insights for practitioners and researchers, helping them make informed decisions on the use of immersive technologies, for example, VR, AR, and MR, in the context of cultural heritage.