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A new algorithm can spot prostate cancer with almost 100% accuracy

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Big training set of images...neural network...you guys know the drill. 



Though the algorithm is very accurate overall, its inventors want it used for a specific role: diagnosing rare types of prostate cancer cells that human doctors often fail to recognize because of their unfamiliarity. 


That sounds fine, but what happens in a few years when the algorithm improves and is better at spotting ALL types of prostate cancer cells than human doctors? 

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