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AI linked to explosion of low-quality biomedical research papers
Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.
The scientific literature is at risk of becoming flooded with papers that make misleading health claims based on openly available data that are easy to process using artificial intelligence (AI) tools, researchers have warned. The papers all seemed to follow a similar template, associating one variable — for example, vitamin D levels or sleep quality — with a complex disorder such as depression or heart disease, ignoring the fact that these conditions have many contributing factors. “We have a sudden explosion in publication rates [of papers] that are extremely formulaic that could easily have been generated by large language models,” says study co-author Matt Spick, a biomedical scientist at the University of Surrey in Guildford, UK.
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