Multiple roles will emerge on the intersection of medical and data-science expertise. For example, medical leaders must form clinically significant and explainable AI that contains the insights and data to help choices and deepen healthcare professionals’ understanding of their patients. Clinical engagement will also be required in product leadership, so as to determine the contribution of AI-based decision-support techniques within broader scientific protocols. Designers specializing in human-machine interactions on medical determination making will help create new workflows that integrate AI.
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