EDUCATION
An Overview of Machine Learning Applications for Conducting Systematic Reviews .
The rapid expansion of medical evidence has intensified demand for tools that can streamline the systematic review process. Machine learning systems now support several SR steps, with literature search and screening emerging as the most mature applications. Most models operate in a semi-automated, human-in-the-loop format, accelerating workflows while preserving reviewer oversight. Tools for information extraction and synthesis are advancing but remain early in development. With growing adoption, ML-assisted SR methods offer a promising path to faster, more scalable evidence synthesis—an area OE continues to actively explore and refine.
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