AI flags more than 250,000 suspicious cancer research papers
Researchers have developed a machine learning tool using BERT to identify over 250,000 suspicious cancer research papers likely produced by 'paper mills.' These companies sell fabricated or low-quality scientific studies, posing a significant threat to the integrity of medical research.
Why it matters
This technology is crucial for maintaining scientific rigor and preventing the spread of fraudulent medical data in academic literature.
A new machine learning system has flagged more than 250,000 cancer research papers that may be connected to so called "paper mills."
The report is a factual summary of a scientific study published in a peer-reviewed journal.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in