Random variation, post-hoc fallacies, and data mining mean that “proven” treatments often decline in apparent effectiveness when released to the general public.
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Medicine involves many risks, benefits, and tradeoffs. Early diagnosis, for example, can certainly be defended and promoted on a right-to-know basis. But that is not the same thing as saying that it reliably improves outcomes or even enjoyment of life. If a powerful AI method reliably detected the very early onset of Alzheimer, it might ruin a senior’s early retirement years without changing the outcome much. Getting the most from AI will include determining the relationship between what it can potentially do and what will provide a medical benefit.
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