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Medical AI Safety: Doing it wrong. – Lauren Oakden-Rayner

laurenoakdenrayner.com · 4,028 words · saved by 1 readers

Medical AI has a safety problem; we know for a fact our testing isn’t reliable. We’ve seen how this plays out before.

Last post , I said we have a safety problem in medical AI. I even suggested that it is bad enough that it could lead to a tragedy. It may not seem that way. Numerous papers are published every week, showing deep learning systems achieving impressive results on medical tasks. Products are being approved by the FDA, and companies are starting to sell them to healthcare providers. I’m going to argue we are doing three specific things wrong: we assume good experimental performance equals good clinical performance we assume good overall performance equals good subtask performance we are not v

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