Medical AI gets 66% worse when you use automated labels for training, and the benchmark hides it! [R][P]

1 sources1 storiesFirst seen 3/20/2026Score29Mixed Progress

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ade17_in

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r/MachineLearning

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AI-Generated Claims

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Medical AI gets 66% worse when you use automated labels for training, and the benchmark hides it!

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But this is not it.

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The bias is qualitative -- younger patients have tumors that are larger, more variable, and fundamentally harder to learn from, not just more of the same hard cases.

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Also, an interesting finding that training for automated labels may amplify bias in your model by 40%.

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Paper - [https://arxiv.org/abs/2511.00477](https://arxiv.org/abs/2511.00477) \- ***International Symposium on Biomedical Imaging*** (***ISBI***) 2026 (oral)

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