[HTML][HTML] A narrative review of machine learning as promising revolution in clinical practice of scoliosis

K Chen, X Zhai, K Sun, H Wang, C Yang… - Annals of Translational …, 2021 - ncbi.nlm.nih.gov
Abstract Machine learning (ML), as an advanced domain of artificial intelligence (AI), is
progressively changing our view of the world. By implementing its algorithms, our ability to …

Artificial intelligence and treatment algorithms in spine surgery

YP Charles, V Lamas, Y Ntilikina - Orthopaedics & Traumatology: Surgery …, 2023 - Elsevier
Artificial intelligence (AI) is a set of theories and techniques in which machines are used to
simulate human intelligence with complex computer programs. The various machine …

Operative versus nonoperative treatment for adult symptomatic lumbar scoliosis at 5-year follow-up: durability of outcomes and impact of treatment-related serious …

JS Smith, MP Kelly, EL Yanik, CR Baldus… - … of Neurosurgery: Spine, 2021 - thejns.org
OBJECTIVE Although short-term adult symptomatic lumbar scoliosis (ASLS) studies favor
operative over nonoperative treatment, longer outcomes are critical for assessment of …

[HTML][HTML] Artificial intelligence for adult spinal deformity

RS Joshi, AF Haddad, D Lau, CP Ames - Neurospine, 2019 - ncbi.nlm.nih.gov
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 …

[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 …

Utilization of predictive modeling to determine episode of care costs and to accurately identify catastrophic cost nonwarranty outlier patients in adult spinal deformity …

CP Ames, JS Smith, JL Gum, M Kelly… - Spine, 2020 - journals.lww.com
Study Design. Retrospective review of prospectively-collected, multicenter adult spinal
deformity (ASD) database. Objective. The aim of this study was to evaluate the rate of …

Association of telomere length with risk of complications in adult spinal deformity surgery: a pilot study of 43 patients

MM Safaee, J Lin, DL Smith, M Fury, JK Scheer… - … of Neurosurgery: Spine, 2022 - thejns.org
OBJECTIVE Risk stratification is a critical element of surgical planning. Early tools were fairly
crude, while newer instruments incorporate disease-specific elements and markers of frailty …

[HTML][HTML] Artificial intelligence for adult spinal deformity: current state and future directions

RS Joshi, D Lau, CP Ames - The Spine Journal, 2021 - Elsevier
As we experience a technological revolution unlike any other time in history, spinal surgery
as a discipline is poised to undergo a dramatic transformation. As enormous amounts of …

Quantifying the collective influence of social determinants of health using conditional and cluster modeling

ZD Rethorn, AN Garcia, CE Cook, ON Gottfried - PLoS One, 2020 - journals.plos.org
Objectives Our objective was to analyze the collective effect of social determinants of health
(SDoH) on lumbar spine surgery outcomes utilizing two different statistical methods of …

Quality metrics in adult spinal deformity surgery over the last decade: a combined analysis of the largest prospective multicenter data sets

F Pellisé, M Serra-Burriel, A Vila-Casademunt… - … of Neurosurgery: Spine, 2021 - thejns.org
OBJECTIVE The reported rate of complications and cost of adult spinal deformity (ASD)
surgery, associated with an exponential increase in the number of surgeries, cause alarm …