Active Learning Driven Document Ranking And Prioritization

via “active-learning-driven document ranking and prioritization”

Open-source AI-powered tool for systematic reviews, helping researchers screen large volumes of academic literature efficiently. [#opensource](https://github.com/asreview/asreview)

Unique: Uses active learning (not generative AI) to iteratively retrain models on human-labeled documents and prioritize screening by predicted relevance, fundamentally different from keyword-matching or static ML classifiers that don't adapt to reviewer feedback in real-time cycles

vs others: Reduces manual screening workload by 95% (claimed) by focusing human effort on high-uncertainty documents rather than requiring full-corpus review, whereas traditional systematic review tools require exhaustive manual screening of all documents