The ‘model-eat-model world’ of clinical AI: How predictive power becomes a pitfall
STAT
OCTOBER 10, 2023
A growing number of AI tools are being used to predict everything from sepsis to strokes, with the hope of accelerating the delivery of life-saving care. But over time, new research suggests, these predictive models can become a victim of their own success — sending their performance into a nosedive and generating inaccurate, potentially harmful results.
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