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Dr. Karla Krewulak has spent much of her career working in evidence synthesis, supporting research that helps improve care for critically ill patients and their
Choosing an AI-enabled research tool is rarely a decision made by one person alone. A researcher selecting a platform for a review, a librarian recommending
Joshua wasn’t working on his review full-time. By day, he was training as a Doctor of Medicine – attending to patients, conducting clinical assessments, and
In partnership with Times Higher Education, Covidence gathered a group of senior university leaders from across the Asia-Pacific region to tackle one of higher education’s
As generating research becomes easier, validating research becomes more important. This may be the most important consequence of AI (automation) in evidence synthesis Automation can
Determining whether an AI feature is appropriate for evidence synthesis requires a structured approach. In a previous article, we introduced a decision matrix composed of
Automation (AI) is changing what is possible in evidence synthesis. Features that screen faster, extract data more efficiently and reduce manual workload are no longer
In recent years, few medical developments have drawn as much public attention as GLP-1 medicines for obesity, moving quickly from specialist clinical conversations to everyday
At Covidence, we invest heavily in research and development, exploring a wide range of automation (AI) approaches for evidence synthesis. Only a subset of that
Artificial intelligence (AI) is reshaping how systematic reviews are conducted, opening up new opportunities to reduce manual workload and accelerate evidence production. Many tools promise
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