ARTIFICIAL INTELLIGENCE AND OPTIMIZATION WITH THE METHOD REVIEW PROCESS INTEGRATED

• DOI: https://doi.org/10.22533/at.ed.394122608015

• Palavras-chave: ...

• Keywords: Artificial intelligence; PRIA Method; Systematic review; Process of Review Integrated.

• Abstract: The present study explores possibilities for optimizing the literature review process by integrating Artificial Intelligence into its phases and stages. In this context, the PRIA method (Process of Review Integrated with Artificial Intelligence) is presented, developed with the aim of enhancing and streamlining the steps traditionally employed in systematic reviews of scientific literature. Based on five sequential and well-defined phases, the method begins with the detailed formulation of the research question, followed by the structured collection of articles, automated screening, critical analysis of the results, and finally (UCL, 2024) , the writing and revision of the final manuscript. Throughout these phases, open-source AI-based tools are strategically employed to automate repetitive tasks, allowing researchers to focus more on analytical activities. The practical application of the PRIA method - Maciel et al.(2026), exemplified in this chapter, addressed the theme of sustainability in ecological restoration projects in the Brazilian Amazon, proving effective in identifying current scientific trends and highlighting research gaps, thereby making a significant contribution to the academic discourse.