Emerging Technologies in the Treatment of Adult Spinal Deformity
Akshar V. Patel, Christopher A. White, J Schwartz, Nicholas L. Pitaro, Kush C. Shah, Sirjanhar Singh, Varun Arvind, Jun Kim, Samuel K. Cho
- 发表年份
- 2021
- 引用次数
- 25
- 访问权限
- 开放获取
摘要
Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patientspecific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity.
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