AI-powered platform designed to accelerate the screening of titles and abstracts from systematic literature searches
LitQuest uses machine learning to support researchers in determining the relevance of references, significantly reducing the time and human resources required for the screening phase of systematic reviews. The system features a user-friendly, web-based interface that allows researchers to upload search results, manually screen a small subset of articles, and then the AI model will sort the remaining articles into relevant and not relevant categories. This semi-automated approach ensures that LitQuest can quickly learn from human input and improve its accuracy over time
