Assessing the risk of bias of studies included in a systematic review is time and resource consuming. Thus far, there are a number of approaches to support this process using AI.

In this webinar, part of the Artificial Intelligence (AI) methods in evidence synthesis series, the presenter will provide insight into current activities in this area. 

The session is primarily aimed at people who have experience in systematic review production, but is also open to anyone with a general interest in the topic.

Presenter Bio

Angelika Eisele-Metzger is a researcher at the Institute for Evidence in Medicine and Cochrane Germany in Freiburg with expertise in systematic review production as well as methodological research. Her current work focuses on the use of AI and large language models to support systematic reviews. 

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Wednesday, 9 April 2025, 09:00 UTC [check the time in your timezone] SIGN UP HERE

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