AI decision support is scaling-up fast — can the evidence keep up?
A Nature commentary highlights rapid deployment of AI-driven clinical decision support systems across health systems despite limited evidence on their real-world safety and effectiveness. Clinicians and health AI leaders express concern that understudied tools could introduce new patient safety risks and propagate existing biases, urging more robust evaluation frameworks before widespread adoption.
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