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PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models
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PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models (2025)PROMPTHEUS: A Human-Centered Pipeline to …The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review (2025)The emergence of large langua…Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review (2024)Towards the automation of sys…Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain (2024)Title and abstract screening …Evaluating the effectiveness of large language models in abstract screening: a comparative analysis (2024)Evaluating the effectiveness …Artificial intelligence for literature reviews: opportunities and challenges (2024)Artificial intelligence for l…An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review (2024)An exploration of available m…Artificial intelligence to automate the systematic review of scientific literature (2023)Artificial intelligence to au…Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation? (2023)Are ChatGPT and large languag…Appraising systematic reviews: a comprehensive guide to ensuring validity and reliability (2023)Appraising systematic reviews…Machine learning computational tools to assist the performance of systematic reviews: A mapping review (2022)Machine learning computationa…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Slowed canonical progress in large fields of science (2021)Slowed canonical progress in …Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses (2021)Guidance for using artificial…“Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? (2021)“Hasta la vista, baby” – will…A question of trust: can we build an evidence base to gain trust in systematic review automation technologies? (2019)A question of trust: can we b…A Guide to Conducting a Standalone Systematic Literature Review (2015)A Guide to Conducting a Stand…Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)Introduction to Meta‐Analysis (2009)The ABC of systematic literature review: the basic methodological guidance for beginners (2020)The art of crafting a systematic literature review in entrepreneurship research (2020)Introduction to Meta‐Analysis (2021)Responsible artificial intelligence governance: A review and research framework (2025)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Diffusion of innovations (2003)Diffusion of Innovations 1 (2019)Error rates of human reviewers during abstract screening in systematic reviews (2020)Automation of systematic literature reviews: A systematic literature review (2021)Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews (2021)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)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars 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)The Structure of Scientific Revolutions. (1964)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Papers and patents are becoming less disruptive over time (2023)Artificial intelligence and illusions of understanding in scientific research (2024)Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis (2024)Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)It takes longer than you think: librarian time spent on systematic review tasks (2018)The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials (2019)Harnessing the Power of ChatGPT for Automating Systematic Review Process: Methodology, Case Study, Limitations, and Future Directions (2023)Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)Procedures for Performing Systematic Reviews (2004)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives (2024)Implementing a proposed framework for enhancing critical thinking skills in synthesizing AI-generated texts (2024)Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning (2025)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both (2017)Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis (2024)A hybrid framework for creating artificial intelligence-augmented systematic literature reviews (2025)The Newcastle–Ottawa Scale for Assessing the Quality of Studies in Systematic Reviews (2026)How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses (2018)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)An open source machine learning framework for efficient and transparent systematic reviews (2021)ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts (2025)Large Language Models in Systematic Review Screening: Opportunities, Challenges, and Methodological Considerations (2025)Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation (2025)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (2007)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Rayyan—a web and mobile app for systematic reviews (2016)The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2024)GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing (2025)Automation bias: a systematic review of frequency, effect mediators, and mitigators (2011)Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)Critical Assessment of Large Language Models’ (ChatGPT) Performance in Data Extraction for Systematic Reviews: Exploratory Study (2025)Ethical and practical implications of AI in academic library research (2025)Large language models show promising performance for some systematic review tasks but call for cautious implementation: a systematic review (2026)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews119,202 cited
  • 2015A Guide to Conducting a Standalone Systematic Literature Review1,597 cited
  • 2021Slowed canonical progress in large fields of science362 cited
  • 2024Artificial intelligence for literature reviews: opportunities and challenges243 cited
  • 2023Appraising systematic reviews: a comprehensive guide to ensuring validity and reliability238 cited
  • 2023Artificial intelligence to automate the systematic review of scientific literature236 cited
  • 2025The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review236 cited
  • 2023Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?230 cited
  • 2024Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain188 cited
  • 2019A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?179 cited
  • 2024Evaluating the effectiveness of large language models in abstract screening: a comparative analysis152 cited
  • 2024Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review122 cited
  • 2021Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses

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117 cited
  • 2021“Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship?93 cited
  • 2022Machine learning computational tools to assist the performance of systematic reviews: A mapping review85 cited
  • 2024An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review52 cited
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