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- Numerous artificial intelligence (AI) tools are being released with the potential to optimize efficiency in academic writing and assist with various stages of the systematic review process including developing and refining search strategies, screening titles and abstracts for inclusion or exclusion criteria, extracting essential data from studies and summarizing findings.
acamh.onlinelibrary.wiley.com/doi/10.1002/jcv2.12234How to optimize the systematic review process using AI tools
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Oct 8, 2021 · We conclude this section by outlining four aspects relevant to AI-based tools across the six steps of the literature review process: (1) evaluation and validity, (2) transparency and replicability, (3) compatibility for recombination, and (4) usability.
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Aug 17, 2024 · We identified relevant tools using two prominent software repositories (the Systematic Literature Review Toolbox and the Comprehensive R Archive Network) supplemented by manually searching relevant surveys for additional tools.
- Francisco Bolaños
Dec 22, 2023 · AI tools for literature review are adept at sifting through millions of papers across various databases like PubMed and Google Scholar. They use AI algorithms and natural language processing (NLP) to identify relevant research articles, providing a summary of key information.
However, AI-based tools can help researchers speed up the process. AI-powered tools can quickly identify relevant studies, extract key themes and concepts, and even generate summaries. In recent years, using AI for literature reviews has gained significant importance in academic research.
Apr 23, 2024 · The effective integration of AI tools into the systematic review process has considerable potential to significantly improve efficiency and streamline the research workflow, while accelerating development of new, more targeted tools.
- 23 April 2024
- 4, Issue2
Oct 18, 2024 · There are a growing number of AI tools available to support different parts of the literature review process, including generating new keyword ideas, providing context for citations, summarizing sources, and creating visualizations of the connections between sources. We chose to review tools that fit the following criteria:
Jun 9, 2022 · relevant to AI-based tools across the six steps of the lit- erature review process: (1) evaluation and validity, (2) transparency and replicability, (3) compatibility for re-