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Using ChatGPT to perform a systematic review: a tutorial.

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This tutorial demonstrates how to use ChatGPT to streamline systematic literature reviews, particularly in cardiovascular research. It details using ChatGPT for efficient title/abstract screening, data extraction, and risk of bias assessment, while cautioning users to validate outputs.

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Area of Science:

  • Artificial Intelligence in Research
  • Biomedical Informatics
  • Cardiovascular Research Methodology

Background:

  • Systematic literature reviews are crucial but time-consuming.
  • Current methods for systematic reviews are resource-intensive.
  • Artificial intelligence tools like ChatGPT offer potential for process optimization.

Purpose of the Study:

  • To provide a comprehensive guide on utilizing ChatGPT for systematic literature reviews.
  • To demonstrate practical applications of ChatGPT in cardiovascular research.
  • To outline methods for enhancing efficiency and reliability in literature reviews.

Main Methods:

  • Leveraging ChatGPT for defining research questions and generating search strings.
  • Using ChatGPT for efficient screening of titles and abstracts.
  • Employing ChatGPT for generating study summaries and data extraction tables.
  • Prompting ChatGPT for risk of bias assessments with manual validation.

Main Results:

  • ChatGPT can significantly streamline the preparation and screening phases of systematic reviews.
  • Automated generation of study summaries and data extraction tables is feasible.
  • Risk of bias assessments can be performed using ChatGPT with appropriate prompting.
  • Manual validation is essential to mitigate potential inaccuracies (hallucinations) in ChatGPT outputs.

Conclusions:

  • ChatGPT offers a powerful tool to accelerate systematic literature reviews in various research fields, including cardiovascular research.
  • Careful prompting and continuous validation are necessary for reliable results.
  • Further refinement of these methods is ongoing, highlighting the evolving role of AI in scientific research.