Skip to Main Content
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