Game-Changing Advances in Infant Hip Dysplasia Evaluation With Ultrasound

Developmental dysplasia of the hip (DDH) causes preventable morbidity when diagnosis is delayed. We review advances that address screening gaps: 3-dimensional (3D) ultrasound for volumetric visualization with retrospective plane selection; artificial intelligence (AI)-assisted 2-dimensional (2D) cine sweeps that add automated quality control and classification for lightly trained operators; and open-source software and datasets that enable external validation and standardization. A pragmatic pathway is universal newborn screening using brief AI-assisted 2D sweeps, with abnormal or indeterminate results referred for confirmatory 3D ultrasound to define dysplasia patterns and guide care. Implementation studies and consensus standards for acquisition and reporting are priorities.