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Using AI-powered Tools for Literature Reviews

Provides an overview to help you find, select, evaluate and use AI-powered tools to assist the literature review workflow

Benefits, Limitations and Suggestions

Benefits

  • Efficiency of literature discovery: in addition to traditional keyword searching, AI technology uses algorithms to discover similar literature via seed papers and citation chains.
  • Ease of searching: AI technology allows for searching using natural language. 
  • Combination of free web resources and users' subscriptions: The listed tools allow users to import sources from referencing software like Zotero and EndNote. 

Limitations

  • Limitation of literature coverage: most of the listed tools use Semantic Scholar and open repositories as their data source, which retrieves open access literature and may not include sources behind paywalls.
  • Uncertainty of search algorithms and full-text extraction technologies.
  • AI does not identify good research or bad research, information can be generated based on poor research containing errors.
  • Creativity is a fundamental feature of LLM/Generative AI, the logic used to predict text might be different from the evidence-based approach in scientific research.
  • Due to the lack of reproducibility and transparency in search processes, generative AI tools can not be widely used for Systematic Review purposes.
  • The above limitations may affect the comprehensiveness of literature discovered and accuracy of answers generated by these tools.

Suggestions