Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers

Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers

Abstract Background Risk of bias (RoB) assessment is an essential part of systematic reviews that requires reading and understanding each eligible trial and RoB tools. RoB assessment is subject to human error and is time-consuming. Machine learning-based tools have been developed to automate RoB ass...

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Bibliographic Details
Main Authors: Christopher James Rose, Julia Bidonde, Martin Ringsten, Julie Glanville, Rigmor C. Berg, Chris Cooper, Ashley Elizabeth Muller, Hans Bugge Bergsund, Jose F. Meneses-Echavez, Thomas Potrebny
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Research Methodology
Subjects:
Systematic reviewing
Risk of bias
Artificial intelligence
Machine learning
Large language model
ChatGPT
Online Access:https://doi.org/10.1186/s12874-025-02631-0
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https://doi.org/10.1186/s12874-025-02631-0

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