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Leveraging open-source large language models (LLMs) in scoping reviews: a case study on disability and AI applications
16 references·0 citing·44 second hop
Leveraging open-source large language models (LLMs) in scoping reviews: a case study on disability and AI applications (2025)Leveraging open-source large language mod…Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain (2024)Title and abstract screening …Screening articles for systematic reviews with ChatGPT (2024)Screening articles for system…Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses (2024)Potential Roles of Large Lang…Perils and opportunities in using large language models in psychological research (2024)Perils and opportunities in u…Performance of a Large Language Model in Screening Citations (2024)Performance of a Large Langua…Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment (2024)Integrating large language mo…Evaluating the effectiveness of large language models in abstract screening: a comparative analysis (2024)Evaluating the effectiveness …Can large language models replace humans in systematic reviews? Evaluating GPT ‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages (2024)Can large language models rep…Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study (2023)Automated Paper Screening for…What are scoping reviews? Providing a formal definition of scoping reviews as a type of evidence synthesis (2022)What are scoping reviews? Pro…Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews (2022)Abstract screening using the …Artificial intelligence and disability: too much promise, yet too little substance? (2020)Artificial intelligence and d…Time-to-update of systematic reviews relative to the availability of new evidence (2018)Time-to-update of systematic …Living systematic review: 1. Introduction—the why, what, when, and how (2017)Living systematic review: 1. …A scoping review on the conduct and reporting of scoping reviews (2016)A scoping review on the condu…Scoping studies: towards a methodological framework (2005)Scoping studies: towards a me…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)Updated methodological guidance for the conduct of scoping reviews (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)Cochrane Handbook for Systematic Reviews of Interventions (2008)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Living systematic reviews: 2. Combining human and machine effort (2017)Registration of systematic reviews in PROSPERO: 30,000 records and counting (2018)Comparison of mental health symptoms before and during the covid-19 pandemic: evidence from a systematic review and meta-analysis of 134 cohorts (2023)A typology of reviews: an analysis of 14 review types and associated methodologies (2009)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions (2023)Mapping reviews, scoping reviews, and evidence and gap maps (EGMs): the same but different— the “Big Picture” review family (2023)“How-to”: scoping review? 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(2010)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Cultural bias and cultural alignment of large language models (2024)Measuring gender and racial biases in large language models: Intersectional evidence from automated resume evaluation (2025)The homogenizing effect of large language models on human expression and thought (2026)Scoping studies: advancing the methodology (2010)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)
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References

  • 2005Scoping studies: towards a methodological framework36,603 cited
  • 2016A scoping review on the conduct and reporting of scoping reviews2,242 cited
  • 2022What are scoping reviews? Providing a formal definition of scoping reviews as a type of evidence synthesis761 cited
  • 2017Living systematic review: 1. Introduction—the why, what, when, and how652 cited
  • 2024Can large language models replace humans in systematic reviews? Evaluating GPT ‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages266 cited
  • 2023Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study205 cited
  • 2022Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews159 cited
  • 2024Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain150 cited
  • 2024Evaluating the effectiveness of large language models in abstract screening: a comparative analysis126 cited
  • 2024Perils and opportunities in using large language models in psychological research110 cited
  • 2024Performance of a Large Language Model in Screening Citations85 cited
  • 2024Screening articles for systematic reviews with ChatGPT81 cited
  • 2024Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses76 cited

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  • 2018Time-to-update of systematic reviews relative to the availability of new evidence72 cited
  • 2024Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment72 cited
  • 2020Artificial intelligence and disability: too much promise, yet too little substance?72 cited
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