[HTML][HTML] Predicting mechanical complications after adult spinal deformity operation using a machine learning based on modified global alignment and proportion …
SH Noh, HS Lee, GE Park, Y Ha, JY Park, SU Kuh… - Neurospine, 2023 - ncbi.nlm.nih.gov
Objective This study aimed to create an ideal machine learning model to predict mechanical
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …
[HTML][HTML] Modified global alignment and proportion scoring with body mass index and bone mineral density analysis in global alignment and proportion score of each 3 …
SH Noh, Y Ha, JY Park, SU Kuh, DK Chin, KS Kim… - Neurospine, 2021 - ncbi.nlm.nih.gov
Objective This study aimed to analyze the prediction rate of the modified Global Alignment
and Proportion (GAP) scoring system with body mass index and bone mineral density …
and Proportion (GAP) scoring system with body mass index and bone mineral density …
Modified global alignment and proportion scoring with body mass index and bone mineral density (GAPB) for improving predictions of mechanical complications after …
SH Noh, Y Ha, I Obeid, JY Park, SU Kuh, DK Chin… - The spine journal, 2020 - Elsevier
BACKGROUND CONTEXT The global alignment and proportion (GAP) score for predicting
mechanical complications of adult spinal deformity (ASD) surgery has limitations due to its …
mechanical complications of adult spinal deformity (ASD) surgery has limitations due to its …
Artificial intelligence models predict operative versus nonoperative management of patients with adult spinal deformity with 86% accuracy
WM Durand, AH Daniels, DK Hamilton, P Passias… - World neurosurgery, 2020 - Elsevier
Objective Patients with ASD show complex and highly variable disease. The decision to
manage patients operatively is largely subjective and varies based on surgeon training and …
manage patients operatively is largely subjective and varies based on surgeon training and …
Validation of the ACS-NSQIP risk calculator: A machine-learning risk tool for predicting complications and mortality following adult spinal deformity corrective surgery
KE Pierce, BH Kapadia, S Naessig… - International journal of …, 2021 - ijssurgery.com
Objective To calculate the risk for postoperative complications and mortality after corrective
surgery of adult spinal deformity (ASD) patients using the American College of Surgeons …
surgery of adult spinal deformity (ASD) patients using the American College of Surgeons …
[HTML][HTML] Artificial intelligence for adult spinal deformity
Adult spinal deformity (ASD) is a complex disease that significantly affects the lives of many
patients. Surgical correction has proven to be effective in achieving improvement of …
patients. Surgical correction has proven to be effective in achieving improvement of …
Development of a preoperative predictive model for major complications following adult spinal deformity surgery
JK Scheer, JS Smith, F Schwab, V Lafage… - … of Neurosurgery: Spine, 2017 - thejns.org
OBJECTIVE The operative management of patients with adult spinal deformity (ASD) has a
high complication rate and it remains unknown whether baseline patient characteristics and …
high complication rate and it remains unknown whether baseline patient characteristics and …
[HTML][HTML] State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics
Adult spinal deformity (ASD) is a complex and heterogeneous disease that can severely
impact patients' lives. While it is clear that surgical correction can achieve significant …
impact patients' lives. While it is clear that surgical correction can achieve significant …
Future data points to implement in adult spinal deformity assessment for artificial intelligence modeling prediction: the importance of the biological dimension
Adult spinal deformity (ASD) surgery is still associated with high surgical risks. Machine
learning algorithms applied to multicenter databases have been created to predict outcomes …
learning algorithms applied to multicenter databases have been created to predict outcomes …
Predictive model for selection of upper treated vertebra using a machine learning approach
R Lafage, B Ang, BS Alshabab, J Elysee, F Lovecchio… - World neurosurgery, 2021 - Elsevier
Objective To train and validate an algorithm mimicking decision making of experienced
surgeons regarding upper instrumented vertebra (UIV) selection in surgical correction of …
surgeons regarding upper instrumented vertebra (UIV) selection in surgical correction of …