Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.

CONCLUSIONSPreoperative prediction of a range of clinically relevant endpoints in decompression surgery for LSS using ML is feasible, and may enable enhanced informed patient consent and personalized shared decision-making. Access to individualized preoperative predictive analytics for outcome and treatment risks may represent a further step in the evolution of surgical care for patients with LSS.
PMID: 31042660 [PubMed - in process]

Source: Neurosurgical Focus - April 30, 2019 Category: Neurosurgery Authors: Siccoli A, de Wispelaere MP, Schröder ML, Staartjes VE Tags: Neurosurg Focus Source Type: research