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Testing the utility of GPT for title and abstract screening in environmental systematic evidence synthesis
16 references·0 citing·46 second hop
Testing the utility of GPT for title and abstract screening in environmental systematic evidence synthesis (2025)Testing the utility of GPT for title and …Transforming literature screening: The emerging role of large language models in systematic reviews (2025)Transforming literature scree…Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review (2024)Towards the automation of sys…Human-AI collaboration to identify literature for evidence synthesis (2024)Human-AI collaboration to ide…Evaluating the effectiveness of large language models in abstract screening: a comparative analysis (2024)Evaluating the effectiveness …Applying ChatGPT and AI‐Powered Tools to Accelerate Evidence Reviews (2024)Applying ChatGPT and AI‐Power…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…Guidance for researchers and peer-reviewers on the ethical use of Large Language Models (LLMs) in scientific research workflows (2023)Guidance for researchers and …Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study (2023)Automated Paper Screening for…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? 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Combining human and machine effort (2017)Living systematic reviews: 2.…Reducing Workload in Systematic Review Preparation Using Automated Citation Classification (2005)Reducing Workload in Systemat…The American Heritage Word Frequency Book (1973)Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINE (1994)Semi-automated screening of biomedical citations for systematic reviews (2010)Automating data extraction in systematic reviews: a systematic review (2015)Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? (2010)Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Living systematic review: 1. 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References

  • 2021Automation of systematic literature reviews: A systematic literature review430 cited
  • 2005Reducing Workload in Systematic Review Preparation Using Automated Citation Classification410 cited
  • 2017Living systematic reviews: 2. Combining human and machine effort354 cited
  • 2023Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?206 cited
  • 2023Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study205 cited
  • 2021Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews190 cited
  • 2023Artificial intelligence to automate the systematic review of scientific literature169 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
  • 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 reviews86 cited
  • 2022Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system68 cited
  • 2024Human-AI collaboration to identify literature for evidence synthesis

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55 cited
  • 2023Guidance for researchers and peer-reviewers on the ethical use of Large Language Models (LLMs) in scientific research workflows48 cited
  • 2024Applying ChatGPT and AI‐Powered Tools to Accelerate Evidence Reviews47 cited
  • 2022Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol44 cited
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