RobotReviewer
RobotReviewer
Open research software using machine learning to assist systematic-review screening and evidence extraction from biomedical literature.
Developer:
RobotReviewer
Our Take
RobotReviewer applies machine-learning methods to support parts of systematic-review work, including identifying information relevant to risk-of-bias assessment and extracting details from clinical research papers. It can help reviewers triage documents or focus attention on passages that deserve closer inspection.
Treat its outputs as decision support rather than a substitute for trained reviewers. Check the original paper and the review’s assessment criteria, especially where study design or reporting is ambiguous, and document how any automated assistance was used.
Key Features
Automated text classification, Study-detail extraction support, Risk-of-bias assistance, Evidence highlighting
Best For
AI-assisted evidence screening
Research Tasks
Triage clinical-trial reports; locate passages relevant to risk-of-bias judgments; help reviewers prioritize papers for manual assessment; support, but not replace, protocol-based review.
Pricing
$0 — listed as free research software; current hosted-service and usage conditions were not confirmed, so check the provider before relying on a hosted version.