How Our AI Streamlines the Peer Review Process
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At Prophy, our mission is to enhance scholarly peer review using the power of artificial intelligence. We’ve built an advanced AI system that deeply understands the concepts within academic papers across all scientific disciplines. Our knowledge base includes over 160 million papers, 70 million authors, 70,000 journals, 100,000 institutions from 224 countries, and 140,000 scientific concepts! In this blog, we’ll explain how our technology works to radically streamline the peer review process.
Our AI performs the following key steps:
The magic happens when our AI matches the manuscript fingerprint to our database of papers and researchers. It rapidly finds the most conceptually similar candidates to suggest as peer reviewers.
The top matches are further ranked using additional criteria like reviewer diversity, availability, conflicts of interest, and journal fit. Only the best matches are recommended to editors.
Our API integration allows this AI-powered suggestion process to happen seamlessly in existing editorial workflows. Editors get relevant reviewer recommendations in seconds!
By leveraging AI to deeply understand papers based on their concepts, Prophy provides unbiased, relevant suggestions even for interdisciplinary work. As our knowledge base grows, so does the power of our matching.
The automation and sophistication of our concept modeling is what allows Prophy to massively improve the efficiency and quality of peer review. We’re excited to continue developing cutting-edge AI to further enhance this critical part of science.