How Does Algorithmic Bias Affect Cancer Diagnosis?
In cancer diagnosis, algorithmic bias can arise from the data used to train machine learning models. If the data is not representative of the entire population, the models may perform poorly for certain groups. For instance, a model trained primarily on data from Caucasian patients may be less accurate for patients of other ethnic backgrounds, leading to misdiagnosis or delayed diagnosis.
