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- 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.
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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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Finding literature. AI-powered tools like machine learning algorithms and natural language processing (NLP) can significantly streamline finding relevant literature. These tools can search extensive databases and digital libraries to identify articles, books, and papers that match specific keywords and topics.
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
Aug 16, 2024 · A variety of AI tools can be used during the systematic review or evidence synthesis process. These may be used to assist with developing a search strategy; locating relevant articles or resources; or during the data screening, data extraction or synthesis stage. They can also be used to draft plain language summaries.
- Ai Techniques For The Planning Phase
- Ai Techniques For The Conducting Phase
- Ai Techniques For The Reporting Phase
- Previous Analyses of The Field and Tool Evaluations
At the beginning of the planning phase, it is recommended to perform a preliminary analysis of the scope and magnitude of the SLR . In the context of health research, “scoping” reviews are a way to quickly identify research themes, for which papers need to be catalogued in order to obtain a “map” of the research topic. Due to its descriptive nature...
This phase has attracted great attention from the AI perspective, with 59% of the primary studies related to its tasks. The selection of primary studies stands out as the most frequently supported task, with a total of 18 papers. ML is the most widely used branch of AI at this phase, often combined with NLP and text mining. Therefore, we first desc...
This last phase of the SLR process has received little attention yet. Current AI approaches only support two tasks: writing the SLR report and its evaluation. The automatic generation of content for the SLR report is a complex task not addressed until very recently. A summary of each selected primary study is a good starting point to write a SLR re...
During the literature search, we found works that cannot be classified in a particular phase. These works compare existing tools or analyse research literature related to the use of AI for SLR automation. They complement our analysis from different viewpoints and allow us to obtain a historical perspective. A mapping study of tools to support SLRs ...
automation, literature review. Introduction. The potential of artificial intelligence (AI) to augment and partially automate research has sparked vivid debates in many scientic disciplines, including the health sciences. fi. (Adams et al., 2013; Tsafnat et al., 2014), biology (King et al., 2009), and management (Johnson et al., 2019).
Jun 9, 2022 · In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of...
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