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Study raises concerns about AI health-prediction models trained on unreliable datasets
Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, according to new research.
AI Summary
A study published in BMC Medicine by researchers from Queensland University of Technology and the Australian Center for Health Services Innovation examined two popular health datasets hosted on Kaggle. The analysis found that the datasets have been cited in 125 peer‑reviewed papers despite offering virtually no documentation on data provenance, collection methods, or whether they reflect actual patients.
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