"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.
In a study published in PLoS Biology on 8 May1, scientists analysed more than 300 papers that used data from the US National Health and Nutrition Examination Survey (NHANES), an open data set of health records. 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.
Spick and his colleagues found that the associations in many of the papers did not hold up to statistical scrutiny, and that some studies seemed to have cherry-picked data."
Thufie BLM
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