According to a new research collaboration between Germany and the UK, anonymized patient records that were included in medical datasets even decades ago may cause AI systems trained on them to recognize the real patient's characteristics years later – and treat a 2026 patient as if it was still 2012 (or whichever year their anonymized patient data was first included in the dataset/s). This could mean, for instance, that a patient who was recorded as undergoing cancer treatment 20 years ago, and…
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