Category: ai-technology | research
By Duke Armstrong

Rayyan


  • Advantages:

    • Enhances research efficiency by quickly filtering relevant studies.

    • Improves collaboration among researchers through shared databases.

    • Utilizes machine learning to continuously improve accuracy over time.

    • Saves time by automating repetitive tasks such as screening articles.

    • Can assess large volumes of literature that would be impractical manually.



  • Disadvantages:

    • May struggle with nuance in qualitative data interpretation.

    • Requires input from researchers to ensure relevant data is included.

    • Potential for bias if the underlying algorithms are not properly designed.

    • Dependence on technology can lead to reduced critical thinking skills.

    • Initial setup and integration may require significant time and resources.



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