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Assessing the article screening efficiency of artificial intelligence for Systematic Reviews
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Assessing the article screening efficiency of artificial intelligence for Systematic Reviews (2024)Assessing the article screening efficienc…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…ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)ChatGPT: A comprehensive revi…Artificial intelligence in systematic reviews: promising when appropriately used (2023)Artificial intelligence in sy…An open source machine learning framework for efficient and transparent systematic reviews (2021)An open source machine learni…The use and analysis of anti‐plagiarism software: Turnitin tool for formative assessment and feedback (2017)The use and analysis of anti‐…Innovative methodological pillars for bibliometric studies: AI screening, data normalization and dual-tool analysis (2025)Innovative methodological pil…Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting (1992)Impact of Self-Regulatory Influences on Writing Course Attainment (1994)Learning to Teach in Higher Education (2003)Attitudes and Knowledge About Plagiarism Among University Students: Cross-Sectional Survey at the University of Split, Croatia (2018)Equity and Diversity (2019)Are AI detection and plagiarism similarity scores worthwhile in the age of ChatGPT and other Generative AI? (2024)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Promoting an open research culture (2015)Rayyan—a web and mobile app for systematic reviews (2016)Artificial intelligence and the conduct of literature reviews (2021)Artificial intelligence for literature reviews: opportunities and challenges (2024)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? (2023)How does generative artificial intelligence impact student creativity? (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)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)Interrater reliability: the kappa statistic (2012)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)PRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis (2022)Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process (2024)Generative artificial intelligence use in evidence synthesis: A systematic review (2025)Using artificial intelligence for systematic review: the example of elicit (2025)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Literature review as a research methodology: An overview and guidelines (2019)How to conduct a bibliometric analysis: An overview and guidelines (2021)
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References

  • 2023ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope2,455 cited
  • 2021An open source machine learning framework for efficient and transparent systematic reviews1,149 cited
  • 2023Artificial intelligence in systematic reviews: promising when appropriately used245 cited
  • 2023Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records96 cited
  • 2017The use and analysis of anti‐plagiarism software: Turnitin tool for formative assessment and feedback95 cited

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  • 2025Innovative methodological pillars for bibliometric studies: AI screening, data normalization and dual-tool analysis13 cited

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