Artificial intelligence is reshaping the landscape of evidence synthesis — but knowing where and how to use it makes all the difference. This workshop offers a practical exploration of AI's role in systematic and scoping reviews, from database searching and title/abstract screening to data extraction and synthesis. Participants will leave with a clearer picture of which tools fit which tasks, and a realistic understanding of the opportunities and limitations AI brings to evidence synthesis research.
In this workshop participants will:
- Describe how AI can support certain stages of the systematic and scoping review process
- Select appropriate AI tools for specific review tasks
- Critically evaluate the benefits and risks of integrating AI into evidence synthesis workflows
Presenter(s): Mê-Linh Lê, Health Sciences Librarian
John Bryans, Health Sciences Librarian
This workshop is part of the Systematic Review Workshop Series. Attend all workshops in the series to receive credit on your Experience Record (Co-Curricular Record). To learn more about this series, visit our website.
