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Phys.org·science·20s

Nearly 3,000 peer-reviewed medical papers have fake citations, AI-assisted audit finds

A recent audit conducted by the Columbia University School of Nursing has uncovered nearly 3,000 peer-reviewed medical papers containing fake citations. These citations do not exist in any scientific databases, raising significant concerns about the integrity of academic publishing. The findings suggest that the increasing reliance on artificial intelligence in research may be contributing to this troubling trend. The audit utilized AI to analyze a vast number of medical papers, revealing that a substantial number included references that were fabricated or incorrectly attributed. This practice not only undermines the credibility of the research but also poses risks to the scientific community and public trust in medical literature. As AI tools become more prevalent in academia, the potential for misuse and inaccuracies in research outputs is growing. The implications of these findings are serious, as they challenge the reliability of peer-reviewed studies that inform medical practices and policies. The academic community is urged to address these issues and enhance the verification processes for citations in published work. The audit serves as a wake-up call for researchers, institutions, and publishers to ensure the integrity of scientific communication in an era increasingly influenced by technology.