- NEWS
The appearance of thousands of formulaic biomedical studies has been linked to the rise of text-generating AI tools.
Data from five large open-access health databases are being used to generate thousands of poor-quality, formulaic papers, an analysis has found. Its authors say that the surge in publications could indicate the exploitation of these databases by people using large language models (LLMs) to mass-produce scholarly articles, or even by paper mills — companies that churn out papers to order.
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
doi: https://doi.org/10.1038/d41586-025-02241-2
References
Related Articles
-
AI linked to explosion of low-quality biomedical research papers
-
Rise of ChatGPT and other tools raises major questions for research
-
Biomedical paper retractions have quadrupled in 20 years — why?
