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AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed. As artificial intelligence proliferates across healthcare, with AI now used for clinical and financial imperatives from disease diagnosis to cost and capacity predictions, there's big potential for efficiency and efficacy – as long as those algorithms are trained on accurate and representative data.