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Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review
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Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review (2025)Artificial Intelligence Tools for Automat…Transforming literature screening: The emerging role of large language models in systematic reviews (2025)Transforming literature scree…Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review (2025)Large language models for con…Generative artificial intelligence use in evidence synthesis: A systematic review (2025)Generative artificial intelli…Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation (2025)Enhancing systematic literatu…Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review (2024)Towards the automation of sys…Performance of two large language models for data extraction in evidence synthesis (2024)Performance of two large lang…Evaluating the effectiveness of large language models in abstract screening: a comparative analysis (2024)Evaluating the effectiveness …The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors (2023)The AI Ghostwriter Effect: Wh…Risks and Benefits of Large Language Models for the Environment (2023)Risks and Benefits of Large L…Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records (2023)Performance of active learnin…Machine learning computational tools to assist the performance of systematic reviews: A mapping review (2022)Machine learning computationa…Tools to support the automation of systematic reviews: a scoping review (2021)Tools to support the automati…Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews (2021)Research Screener: a machine …Updated methodological guidance for the conduct of scoping reviews (2020)Updated methodological guidan…PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)PRISMA Extension for Scoping …Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Analysis of the time and work…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Interrater Reliability in Systematic Review Methodology: Exploring Variation in Coder Decision-Making (2018)Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)Scoping studies: towards a methodological framework (2005)Scoping studies: advancing the methodology (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)De-duplication of database search results for systematic reviews in EndNote (2016)Rayyan—a web and mobile app for systematic reviews (2016)Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews (2022)The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses (2024)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)Updated methodological guidance for the conduct of scoping reviews (2021)Guidance to best tools and practices for systematic reviews (2023)Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain (2024)An open source machine learning framework for efficient and transparent systematic reviews (2021)Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles? (2023)Utilizing ASReview in screening primary studies for meta-research in SLA: A step-by-step tutorial (2024)The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence (2026)A Cognitive Process Theory of Writing (1981)The State of Psychological Ownership: Integrating and Extending a Century of Research (2003)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models (2025)AI makes you smarter but none the wiser: The disconnect between performance and metacognition (2025)The Impact of AI Guilt on Students’ Use of ChatGPT for Academic Tasks: Examining Disciplinary Differences (2025)Cochrane Handbook for Systematic Reviews of Interventions (2008)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Leveraging artificial intelligence to enhance systematic reviews in health research: advanced tools and challenges (2024)Large language models for automated scholarly paper review: A survey (2025)Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation (2025)Systematic Reviews: Rationale for systematic reviews (1994)Chapter 11: Scoping reviews (2019)Accelerating clinical evidence synthesis with large language models (2025)Large Language Models in Systematic Review Screening: Opportunities, Challenges, and Methodological Considerations (2025)Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist (2025)Scoping reviews: reinforcing and advancing the methodology and application (2021)Best practice guidance and reporting items for the development of scoping review protocols (2022)Recommendations for the extraction, analysis, and presentation of results in scoping reviews (2022)Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer (2023)The Limitations of Large Language Models for Understanding Human Language and Cognition (2024)
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References

  • 2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
  • 2020Updated methodological guidance for the conduct of scoping reviews7,715 cited
  • 2017Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry733 cited
  • 2023Risks and Benefits of Large Language Models for the Environment272 cited
  • 2021Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews190 cited
  • 2021Tools to support the automation of systematic reviews: a scoping review189 cited
  • 2023The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors182 cited
  • 2025Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review146 cited
  • 2024Evaluating the effectiveness of large language models in abstract screening: a comparative analysis126 cited
  • 2023Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records96 cited
  • 2025Generative artificial intelligence use in evidence synthesis: A systematic review89 cited
  • 2024Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review87 cited
  • 2025Transforming literature screening: The emerging role of large language models in systematic reviews

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86 cited
  • 2022Machine learning computational tools to assist the performance of systematic reviews: A mapping review85 cited
  • 2024Performance of two large language models for data extraction in evidence synthesis79 cited
  • 2025Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation68 cited
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