Abstract
This study explores the potential impact of Artificial Intelligence on narrative literature reviews in academic research. The literature review process involves finding, analyzing, and synthesizing relevant literature and is crucial for situating new research within existing knowledge. The integration of Artificial Intelligence tools, specifically Large Language Models such as the Generative Pre-Trained Transformer series, can significantly improve the efficiency and effectiveness of this process. This paper outlines the steps involved in conducting a literature review and examines how Artificial Intelligence tools can aid in identifying research gaps, organizing and analyzing retrieved articles, and writing the review. In the literature review process, we provide examples of both free and commercially available Artificial Intelligence software to demonstrate their potential applications.