Hailian Zhang

Unmasking the algorithm: a review of algorithmic bias and fairness in medical AI and image processing

The taxonomy of ethical concerns is categorized—including algorithmic fairness, privacy, transparency, and clinical accountability—and the workflow of bias from unrepresentative training datasets through flawed objective functions to biased clinical deployment is traced.