SciScanner 2.1.2

University College Dublin – Freeware – iOS
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SciScanner: A Comprehensive Meta-Search Engine for Health-Related Research

SciScanner is a meta-search engine specifically designed for harnessing health-related scientific research.

Synchronized Searching

The platform efficiently searches multiple scientific evidence repositories, including well-established sources such as the Cochrane Library, Medline, Wikipedia, and YouTube, ensuring that users receive a centralized output of relevant findings. This synchronized approach streamlines the process of locating critical research to address various health information needs.

SciScanner employs Boolean operators and advanced search syntax to facilitate navigation through a vast database of over 25 million scientific articles. Users can explore scientific literature encompassing:
<ul>
 <li>Treatment</li>
 <li>Diagnosis</li>
 <li>Aetiology</li>
 <li>Prognosis</li>
 <li>Clinical Prediction</li>
</ul>

Additionally, the platform proves useful for identifying primary research, including randomized controlled trials, systematic reviews, meta-analyses, and consensus articles.

Search Synthesis

Utilizing Robotreviewer (<a href="http://www.robotreviewer.net">www.robotreviewer.net</a>), SciScanner provides succinct summaries of randomized controlled trials, enabling rapid assessment and review.

This initiative is grounded in the Insight Centre for Data Analytics at University College Dublin, highlighting its commitment to enhancing the accessibility and utility of health-related scientific literature.

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