Pemla Jagtiani

Introduction The integration of artificial intelligence (AI) in healthcare has the potential to transform patient care. However, concerns about fairness, transparency, and potential biases have been raised (1). Bias, a systematic error in decision-making processes, can stem from various sources in an AI framework, including sample bias, outcome bias, and biases introduced during data handling and feature engineering (2).

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