[Review] Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review
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[Review] Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review. Predictive artificial intelligence (AI) offers an opportunity to improve clinical practice and patient outcomes but risks perpetuating biases if fairness is inadequately addressed. However, the definition of fairness remains unclear. We conducted a scoping review to identify and critically appraise fairness metrics in clinical predictive AI models. We defined a fairness metric as a metric quantifying whether a model discriminates (societally) against individuals or groups defined by sensitive attributes.
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