Machine learning applications in adult spinal deformity corrective surgery: a narrative review

被引：0
作者：
Toossi, Nader [1 ]
Jerry, Ozhan [2 ]
机构：
[1] Musculoskeletal Educ & Res Ctr, Clin Res, 2560 Gen Armistead Ave, Audubon, PA 19403 USA
[2] Univ New England, Coll Dent Med, Portland, ME USA
来源：
ARTIFICIAL INTELLIGENCE SURGERY | 2024年 / 4卷 / 03期
关键词：
Machine learning; adult spinal deformity; predictive modeling; artificial intelligence; PREDICTING MECHANICAL COMPLICATIONS; MODIFIED GLOBAL ALIGNMENT; BODY-MASS INDEX; RISK; DISCHARGE; MODELS; COHORT;
D O I：
10.20517/ais.2024.27
中图分类号：
R61 [外科手术学];
学科分类号：
摘要：
Adult spinal deformity (ASD) poses significant challenges in spinal surgery, requiring precise planning and execution for successful correction. Additionally, optimization of outcomes and reducing the high complication rates of ASD surgeries are additional challenges facing spinal deformity surgeons. The advent of machine learning (ML) has revolutionized various aspects of healthcare, including spinal surgery. This review provides a comprehensive overview of the current state of ML applications in spinal deformity corrective surgery, highlighting its potential benefits and challenges.
引用
收藏
页码：258 / 266
页数：9
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