Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes
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DOI: 10.1007/s00586-021-06799-z
Abstract: AI algorithms have shown promise in medical image analysis. Previous studies of ASD clusters have analyzed alignment metrics—this study sought to complement these efforts by analyzing images of sagittal anatomical spinopelvic landmarks. We hypothesized that… read more here.
Keywords: surgical characteristics; morphology; sagittal plane; adult spinal ... See more keywords