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Demystifying literature review in the AI Era
3
Zitationen
2
Autoren
2025
Jahr
Abstract
Objective. The study addresses the lack of a method that combines systematic reviews with Generative Artificial Intelligence (AI). It proposes improvements to the SSF (Systematic Search Flow) method, introducing new review categories and incorporating AI tools. Method. It analyzed 44 types of literature reviews organized into seven distinct families with a narrative review approach. Based on this, the SSF method was updated with the support of generative AI. Results. It presents the evolution of the SSF, which incorporates generative AI to optimize search strategy, article selection and scientific writing. This results in faster reviews by filtering the results and analyzing a large volume of data. Conclusion. The update of the SSF Method represents a significant advance, offering a systematic and efficient guide for literature reviews. Although generative AI does not replace the critical judgment of the researcher, when guided by experienced researchers, it increases the efficiency of the process, making reviews more robust and methodologically rigorous.
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