Artificial intelligence prediction model for the risk of lumbar interbody cage subsidence

Acta Universitatis Medicinalis Anhui 2020 07 v.55 1144-1146     font:big middle small

Found programs:

Authors:Wang Ben; Ou Yunsheng

Keywords:artificial intelligence;cage subsidence;spine surgery

DOI:10.19405/j.cnki.issn1000-1492.2020.07.032

〔Abstract〕 A Graussian kernel SVM model was constructed based on identified risk factors(including number of surgical segments, preoperative/postoperative intervertebral height, postoperative L4segment lordosis, and postoperative PT, SS) related to cage subsidence. The AUC was 0.93. The results will help the development of precision medicine in spine surgery.