In a new preprint, the authors identify 124 peer-reviewed papers which used provenance-unknown Kaggle data to train AI for stroke and diabetes risk. Some sets show impossible patterns, yet models of the models are already hitting clinics.
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The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
