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Assessment of Bias in Clinical Trials with LLMs Using ROBUST-RCT: A Feasibility Study.

2025-08-13 epidemiology Title + abstract only
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BACKGROUNDBias assessment is a crucial step in evaluating evidence from randomized controlled trials. The widely adopted Cochrane RoB 2, designed to identify these issues, is complex, resource-intensive, and unreliable. Advances in artificial intelligence (AI), particularly in the field of large language models (LLMs), now allow the automation of complex tasks. While prior investigations have focused on whether LLMs could perform assessments with RoB 2, integrating technologies does not resolve ...

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