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Related Experiment Videos

Utilizing Artificial Intelligence to create narrative literature reviews.

Auro Del Giglio¹, Mateus Uérlei Pereira da Costa²

¹Centro Universitário FMABC, Santo André, SP, Brazil.

Einstein (Sao Paulo, Brazil)

|April 15, 2026

Summary

Artificial Intelligence (AI), particularly Large Language Models, can streamline academic literature reviews by enhancing efficiency and effectiveness. This technology aids in identifying research gaps and synthesizing information for better research integration.

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Area of Science:

Academic Research
Information Science
Computer Science

Background:

Literature reviews are fundamental to academic research, providing context and identifying knowledge gaps.
Traditional literature reviews are time-consuming and labor-intensive.
Advancements in Artificial Intelligence offer potential solutions to enhance research methodologies.

Purpose of the Study:

To explore the impact of Artificial Intelligence on narrative literature reviews.
To examine how AI tools can improve the efficiency and effectiveness of the literature review process.
To provide practical examples of AI applications in academic research.

Main Methods:

The study outlines the standard steps of conducting a literature review.
It examines the application of Artificial Intelligence tools, including Large Language Models (LLMs) like Generative Pre-Trained Transformers.
Examples of free and commercial AI software are presented.

Main Results:

Artificial Intelligence tools can significantly improve the identification of research gaps.
AI assists in organizing, analyzing, and synthesizing retrieved literature.
LLMs enhance the overall efficiency and effectiveness of writing literature reviews.

Conclusions:

AI integration, especially LLMs, offers a transformative approach to academic literature reviews.
These tools can free up researchers' time for critical analysis and knowledge creation.
The adoption of AI in literature reviews is poised to advance academic research practices.