ExaCT is an artificial intelligence system developed by the National Research Council Canada that automatically extracts key information from published clinical trial research. The system helps medical researchers and clinicians quickly locate and identify important characteristics of randomized controlled trials from scientific journal articles, reducing the time-consuming manual work required for systematic reviews, meta-analyses, and evidence synthesis studies.
Clinical trials represent one of the most important sources of evidence for guiding evidence-based medical practice and designing new research. However, this valuable information is typically buried in the free text of published articles, making it labor-intensive to extract manually. ExaCT partially automates this extraction process, allowing researchers to focus on analysis rather than data collection.
This system does not process personal information about individuals. It is designed for use by members of the public, researchers, and medical professionals who need to analyze clinical trial evidence. The system is currently retired but represents an important example of how AI can support evidence-based medicine and accelerate the pace of medical research.
