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A comprehensive review of the NDE 4.0 landscape, analyzing non-destructive inspection through computational algorithms, physical techniques, industrial applications, and research objectives, highlighting the shift toward deep learning and generative models for automated defect recognition and identifying key gaps like open datasets, explainable AI, and standardized digital twin protocols.