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Algorithmic audit for safer medical AI systems

A posed stock photograph of a radiographer looking at a chest x-ray on a computer screen

An artificial intelligence (AI) model trained to detect hip fractures from x-rays can outperform highly trained clinical specialists, but is also vulnerable to unexpected and potentially harmful errors, highlighting the need for ‘algorithmic audits’ of medical AI imaging systems, researchers say.

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