Systematic-Review on The Augmented Scholar

ASReview — Machine Learning for Screening

Fri, 17 Jul 2026 00:00:00 +0000

Overview

ASReview attacks the worst part of systematic reviews: screening thousands of abstracts. You label a handful of relevant/irrelevant records; an active-learning model reorders the remainder so relevant papers surface first. Peer-reviewed simulations report finding 95% of relevant records after screening a fraction of the pile.

Rayyan — Collaborative Review Screening

Fri, 17 Jul 2026 00:00:00 +0000

Overview

Rayyan is where review teams meet to screen: upload search results, invite co-reviewers, screen blind to each other’s decisions, then reveal and resolve conflicts. It has become the default because the core collaborative workflow is free and genuinely works.

Covidence — End-to-End Systematic Reviews

Fri, 17 Jul 2026 00:00:00 +0000

Overview

Where Rayyan focuses on screening, Covidence manages the entire systematic review: title/abstract screening, full-text assessment with exclusion reasons, risk-of-bias assessment, and structured data extraction — with the PRISMA flow diagram maintained automatically throughout.