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Tamim I. Rajjo

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Review Open access Apr 2026

Comparison of three large language models' ability to assess the risk of bias using ROBINS-I tool

Current off-the-shelf LLMs cannot reliably perform ROBINS-I risk of bias assessments, as Claude was internally consistent but poorly aligned with human reviewers and GPT had lower reliability and mixed accuracy.

S. Saadi, Farah Fleti, Omar H. Rajjoub et al. · 0 citations

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