Variability, algorithm conformance, and accuracy of large language model–based tools for risk-of-bias (RoB 2.0) assessment of randomized trials: a pilot study
Background: Large language model (LLM)–based tools are increasingly used to automate risk-of-bias assessment of randomized controlled trials with the revised Cochrane tool (RoB 2.0). However, their reproducibility, their accuracy, and their fidelity to the deterministic algorithm mapping signalling-question responses t...