Automating Biomedical Evidence Synthesis: RobotReviewer

Proceedings of the Conference
Iain J MarshallByron C Wallace

Abstract

We present RobotReviewer, an open-source web-based system that uses machine learning and NLP to semi-automate biomedical evidence synthesis, to aid the practice of Evidence-Based Medicine. RobotReviewer processes full-text journal articles (PDFs) describing randomized controlled trials (RCTs). It appraises the reliability of RCTs and extracts text describing key trial characteristics (e.g., descriptions of the population) using novel NLP methods. RobotReviewer then automatically generates a report synthesising this information. Our goal is for RobotReviewer to automatically extract and synthesise the full-range of structured data needed to inform evidence-based practice.

Citations

Aug 18, 2020·Journal of Medical Internet Research·Matthew MichelsonSteven Minton
May 10, 2019·BMC Medical Informatics and Decision Making·Frank SoboczenskiIain J Marshall
Jan 17, 2020·Health Psychology Review·Iain J MarshallByron C Wallace
Aug 21, 2021·Artificial Intelligence in Medicine·Tobias MayerSerena Villata

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