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[A Guide to Network Meta-Analysis Using Generative AI and No-Code Tools].

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Summary
This summary is machine-generated.

Network meta-analysis (NMA) simplifies comparing medical treatments. Generative AI tools like ChatGPT and the ShinyNMA interface make NMA more accessible for researchers, improving evidence quality.

Keywords:
ChatGPTgenerative artificial intelligencenetwork meta-analysis

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Area of Science:

  • Statistics
  • Medical Informatics
  • Bioinformatics

Context:

  • Network meta-analysis (NMA) is a powerful statistical method for comparing multiple medical treatments.
  • The prevalence and sophistication of NMA methods and software have grown significantly.
  • Generative Artificial Intelligence (GAI) is emerging as a tool to aid in NMA script generation.

Purpose:

  • To introduce the use of GAI, specifically ChatGPT, for generating R scripts for NMA using the netmeta package.
  • To present ShinyNMA, a web-based, no-code tool for conducting NMA with an intuitive interface.
  • To demonstrate how GAI and user-friendly tools can streamline NMA processes.

Summary:

  • This paper details using ChatGPT to create R scripts for NMA with the netmeta package.
  • A user-friendly, web-based tool, ShinyNMA, is developed using the Shiny package for no-code NMA.
  • The study showcases the creation of an NMA analysis tool using GAI and its potential applications.

Impact:

  • GAI and no-code tools are expected to significantly ease NMA for researchers.
  • Improved accessibility to NMA results will enhance real-time decision-making in healthcare.
  • Empowering non-specialists to conduct systematic reviews can improve analytical capabilities and evidence quality.