What Are the Consequences of Algorithmic Bias in Cancer Treatment?
Algorithmic bias in cancer treatment can lead to unequal access to therapies, inappropriate treatment plans, and poorer outcomes for affected groups. For example, an algorithm that does not consider specific genetic markers more prevalent in certain populations may fail to recommend the most effective targeted therapies. This can result in higher mortality rates and lower quality of life for these groups.
