Bibliometric analysis of ChatGPT and plastic surgery research: Insights from diverse search strategies and co-word analysis

• Published in: Chinese journal of plastic and reconstructive surgery Vol. 6; no. 4; pp. 185 - 195
• Main Authors: Abdelwahab, Siddig Ibrahim, Farasani, Abdullah, Alfaifi, Hassan Ahmad, Hassan, Waseem
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2024; Health Research Center,Jazan University,Jazan 42581,Saudi Arabia%Department of Medical Laboratory Technology,Faculty of Nursing and Health Sciences,Jazan University,Jazan 42581,Saudi Arabia%Pharmaceutical Care Administration(Jeddah Second Health Cluster),Ministry of Health,Jeddah 29154,Saudi Arabia%Institute of Chemical Sciences,University of Peshawar,Peshawar 25120,Khyber Pakhtunkhwa,Pakistan; KeAi Communications Co. Ltd
• Subjects: Bibliometric analysis; ChatGPT; Co-words analysis; Plastic surgery; Scopus; Plastic surgery; Bibliometric analysis; ChatGPT; Scopus; Co-words analysis
• ISSN: 2096-6911; 2096-6911
• DOI: 10.1016/j.cjprs.2024.10.002

The rise of artificial intelligence in healthcare, particularly the development of large language models like ChatGPT, has opened new avenues for innovation in medical fields, including plastic surgery. ChatGPT offers potential applications in patient education, surgical planning, and decision-making support, making it an important research subject. However, there has been limited investigation into its impact on plastic surgery. The objective of this study was to investigate the progress of research on ChatGPT and plastic surgery, focusing on key contributors and emerging topics within the field. Five distinct search strategies were employed to analyze relevant publications from the Scopus database. The analysis identified and presented the top authors, universities, countries, sponsors, and journals (within each search strategy). The co-authorship networks of authors, universities, and countries are graphically presented. The authors’ performance was depicted by various indicators, such as total publications, citations, h-index, g-index, and m-index. A co-word analysis revealed the focus of the papers, which were presented in 15 groups. This multifaceted approach provides a detailed understanding of key themes in the field. This report offers a comprehensive overview of the current state of research at the intersection of ChatGPT and plastic surgery.