Content Analysis of the Top 25 Most Cited Articles of the Journal of Craniofacial Surgery With ChatGPT-4o

Abstract

Objective: Since 1990, the Journal of Craniofacial Surgery has been an important resource for clinicians and basic scientists. The journal addresses clinical practice, surgical innovations, and educational issues. This study aims to evaluate the contribution of these articles to clinical practice innovations and surgical procedures by analyzing the content of the 25 most cited articles published in the journal. It also aims to demonstrate the potential of artificial intelligence tools in academic content analysis. Methods: All articles published in the Journal of Craniofacial Surgery on June 13, 2024, were searched using the Web of Science Database, and the 25 most cited articles were identified. The full texts of these articles were saved in PDF format and metadata were saved as plain text files. Content analysis of these 25 articles was performed using ChatGPT-4o. Results: As a result of the analysis, some articles stood out in terms of clinical importance. It also appeared that ChatGPT could be used to compare multiple articles. Conclusion: In this study, the authors analyzed the content of the 25 most cited articles published in the Journal of Craniofacial Surgery using ChatGPT-4o. These articles were evaluated according to the criteria of innovations in clinical practice and compliance with surgical procedures. This study presents interesting findings in terms of the use of artificial intelligence tools in academic content analysis. The authors thought that this study could be a source of inspiration for future studies.