Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

May 23, 2019 1 min read 👏

Publishing date: 2019-05-23

Published on: BMC Medical Informatics and Decision Making

summary: Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments. The authors conducted a user study of RobotReviewer, evaluating time saved and usability of the tool.

authors: Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace and Iain J. Marshall

link to paper: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0814-z

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