Abstract

ChatGPT, also known as Chat Generative Pre-trained Transformer, was developed by OpenAI and is a versatile chatbot recognized for generating human-like text responses. Since its launch in November 2022, ChatGPT has sparked interest and debate. This chapter aims to examine the scientific publications of AI-based ChatGPT in medicine by analyzing research output, yearly frequency, citations, leading journals, authors, subjects, and keywords using bibliometric tools. We collected data from the Scopus Elsevier database regarding publications containing the keyword “ChatGPT in Medicine” at a global level between 2022 and 2025, identifying a total of 720 research publications. Ultimately, we selected only 2,045 published articles, with an average citation rate of 16.86 per article, excluding articles in press. Additionally, for data analysis, we applied bibliographic coupling and co-citation analysis using VOSviewer software version 1.6.20. The results reveal that the United States led in publications (45.82%), followed by China (8.51%) and Germany (7.14%). The leading institutions producing publications, such as Harvard Medical School, followed by the Mayo Clinic and the University of Toronto, were the most prolific.

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