The value of a deep learning image reconstruction algorithm for assessing vertebral compression fractures using dual-energy computed tomography

With a rising incidence, thoracolumbar vertebral compression fractures (VCFs) have emerged as a pressing public health concern due to risk of severe disability, especially in industrialized countries with increasing aging populations[1]. Differentiating between acute and chronic fractures is crucial for determining the appropriate treatment approach (whether conservative or surgical) and reducing the risk of associated complications.

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