Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
Objective Artificial intelligence (AI) models trained using medical images for clinical tasks
often exhibit bias in the form of subgroup performance disparities. However, since not all …
often exhibit bias in the form of subgroup performance disparities. However, since not all …
Towards objective and systematic evaluation of bias in medical imaging AI
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit
bias in the form of disparities in performance between subgroups. Since not all sources of …
bias in the form of disparities in performance between subgroups. Since not all sources of …
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data
Background Understanding the mechanisms of algorithmic bias is highly challenging due to
the complexity and uncertainty of how various unknown sources of bias impact deep …
the complexity and uncertainty of how various unknown sources of bias impact deep …