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This article discusses the impact of machine learning on structural health monitoring, specifically through the use of deep learning and computer vision techniques. It also highlights the potential for autonomous discovery of knowledge and intelligent diagnosis of structural health based on monitoring data. The article calls for submissions on this topic for a special issue of the journal.