A new study finds that artificial intelligence tools identified technical errors in clinical research papers more reliably than human scientists did, raising questions about how such tools could support peer review.
AI systems outperform scientists at catching flaws in clinical research papers
A new study finds that artificial intelligence tools identified technical errors in clinical research papers more reliably than human scientists did, raising questions about how such tools could support peer review.
NIAID · CC BY 2.0 · rights
Monitoring item. The full text is not distributed. Extract and source below.