Fairness of machine learning classifiers in medical image analysis | AI FOR GOOD DISCOVERY
0Medical institutions around the world are adopting machine learning (ML) systems to assist in analyzing health data; at the same time, the fairness research community has shown that ML systems can be biased, resulting in disparate performance for specific subpopulations. In this talk, we discuss the relationship between bias, ML and health systems, addressing the specific case of gender bias in X-ray classifiers for computer-assisted diagnosis.
Speakers:
Enzo Ferrante, Research Scientist, Argentina's National Research Council (CONICET)
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