The human hardware bias is hindering AI adoption in the health industry

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  1. People want you to base your diagnosis on images. Yes, absurd as it is in the dawn of the AI era. Since we’re used to diagnosing with images, it has made it into the very call for tenders the fact that diagnosing software must rely on images as input data. Now, asking for an output image for explainability purposes is quite reasonable; on the contrary, restricting the means for producing those images to artificially reconstructed visual data is not. Who said it’s not possible for a tumor to produce an acoustic signature that’s discarded or dampened upon passing through the standard, ray-based image reconstruction algorithms? At the very least, that grants some unbiased exploration.

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