Healthcare IT News February 24, 2022
Training artificial intelligence models on more diverse image and data sets can augment decision making, overcome knowledge gaps, and promote greater health equity and outcomes, says one expert.
Data sets that train artificial intelligence and machine learning technology may not be representative of the population as a whole, studies have revealed.
Data that is too narrow in focus can worsen racial disparities. Subsequently, outcomes for marginalized populations can be worse. This is definitely the case if caregivers are not aware of biases that arise from this technology.
Dr. Art Papier, CEO of vendor VisualDx and associate professor of dermatology at the University of Rochester in New York, believes it’s time for a change. He is concerned about the dangers of...
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