Self-learning computers for surgical planning and prediction of postoperative alignment

[摘要] PurposeIn past decades, the role of sagittal alignment has been widely demonstrated in the setting of spinal conditions. As several parameters can be affected, identifying the driver of the deformity is the cornerstone of a successful treatment approach. Despite the importance of restoring sagittal alignment for optimizing outcome, this task remains challenging. Self-learning computers and optimized algorithms are of great interest in spine surgery as in that they facilitate better planning and prediction of postoperative alignment. Nowadays, computer-assisted tools are part of surgeons’ daily practice; however, the use of such tools remains to be time-consuming.

[学科分类] 骨科学

[关键词] Self-learning computers;Machine learning;Surgical planning;Sagittal alignment;Spine surgery