Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...

As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered. However, when you dig into the stats, these ...