{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:15:15Z","timestamp":1787166915286,"version":"build-2736575974"},"reference-count":28,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","theclinics.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurosurgery Clinics of North America"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.nec.2023.11.001","type":"journal-article","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T07:59:33Z","timestamp":1701244773000},"page":"253-262","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"title":["Artificial Intelligence in Spine Surgery"],"prefix":"10.1016","volume":"35","author":[{"given":"Justin K.","family":"Scheer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher P.","family":"Ames","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.nec.2023.11.001_bib1","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.1007\/s11845-021-02730-z","article-title":"The role of data science in healthcare advancements: applications, benefits, and future prospects","volume":"191","author":"Subrahmanya","year":"2022","journal-title":"Ir J Med Sci"},{"issue":"S1","key":"10.1016\/j.nec.2023.11.001_bib2","doi-asserted-by":"crossref","first-page":"S18","DOI":"10.14444\/8503","article-title":"Artificial Intelligence and Machine Learning Applications in Spine Surgery","volume":"17","author":"Lee","year":"2023","journal-title":"Internet J Spine Surg"},{"key":"10.1016\/j.nec.2023.11.001_bib3","series-title":"Applied predictive analytics : principles and techniques for the professional data analyst","first-page":"427","author":"Abbott","year":"2014"},{"issue":"4","key":"10.1016\/j.nec.2023.11.001_bib4","doi-asserted-by":"crossref","first-page":"686","DOI":"10.14245\/ns.1938414.207","article-title":"Artificial Intelligence for Adult Spinal Deformity","volume":"16","author":"Joshi","year":"2019","journal-title":"Neurospine"},{"issue":"4","key":"10.1016\/j.nec.2023.11.001_bib5","doi-asserted-by":"crossref","first-page":"637","DOI":"10.14245\/ns.1938410.205","article-title":"Artificial Intelligence and the Future of Spine Surgery","volume":"16","author":"Joshi","year":"2019","journal-title":"Neurospine"},{"issue":"5","key":"10.1016\/j.nec.2023.11.001_bib6","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1007\/s43390-021-00360-0","article-title":"State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics","volume":"9","author":"Joshi","year":"2021","journal-title":"Spine Deform"},{"issue":"6","key":"10.1016\/j.nec.2023.11.001_bib7","doi-asserted-by":"crossref","first-page":"E3","DOI":"10.3171\/2017.10.FOCUS17472","article-title":"An assessment of frailty as a tool for risk stratification in adult spinal deformity surgery","volume":"43","author":"Miller","year":"2017","journal-title":"Neurosurg Focus"},{"issue":"6","key":"10.1016\/j.nec.2023.11.001_bib8","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.jspd.2015.04.005","article-title":"A\u00a0Comprehensive Review of Complication Rates After Surgery for Adult Deformity: A Reference for Informed Consent","volume":"3","author":"Sciubba","year":"2015","journal-title":"Spine Deform"},{"issue":"5","key":"10.1016\/j.nec.2023.11.001_bib9","doi-asserted-by":"crossref","first-page":"E11","DOI":"10.3171\/2018.8.FOCUS18246","article-title":"Development of a validated computer-based preoperative predictive model for pseudarthrosis with 91% accuracy in 336 adult spinal deformity patients","volume":"45","author":"Scheer","year":"2018","journal-title":"Neurosurg Focus"},{"issue":"5","key":"10.1016\/j.nec.2023.11.001_bib10","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.jspd.2018.02.010","article-title":"Development of a Preoperative Predictive Model for Reaching the Oswestry Disability Index Minimal Clinically Important Difference for Adult Spinal Deformity Patients","volume":"6","author":"Scheer","year":"2018","journal-title":"Spine Deform"},{"issue":"22","key":"10.1016\/j.nec.2023.11.001_bib11","doi-asserted-by":"crossref","first-page":"E1328","DOI":"10.1097\/BRS.0000000000001598","article-title":"Development of Validated Computer-based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK With 86% Accuracy Based on 510 ASD Patients With 2-year Follow-up","volume":"41","author":"Scheer","year":"2016","journal-title":"Spine"},{"issue":"6","key":"10.1016\/j.nec.2023.11.001_bib12","doi-asserted-by":"crossref","first-page":"736","DOI":"10.3171\/2016.10.SPINE16197","article-title":"Development of a preoperative predictive model for major complications following adult spinal deformity surgery","volume":"26","author":"Scheer","year":"2017","journal-title":"J\u00a0Neurosurg Spine"},{"issue":"15","key":"10.1016\/j.nec.2023.11.001_bib13","doi-asserted-by":"crossref","first-page":"1058","DOI":"10.1097\/BRS.0000000000002515","article-title":"Predictive Modeling for Blood Transfusion After Adult Spinal Deformity Surgery: A Tree-Based Machine Learning Approach","volume":"43","author":"Durand","year":"2018","journal-title":"Spine"},{"key":"10.1016\/j.nec.2023.11.001_bib14","doi-asserted-by":"crossref","first-page":"e422","DOI":"10.1016\/j.wneu.2018.04.064","article-title":"Predictive Modeling of Length of Hospital Stay Following Adult Spinal Deformity Correction: Analysis of 653 Patients with an Accuracy of 75% within 2 Days","volume":"115","author":"Safaee","year":"2018","journal-title":"World Neurosurg"},{"issue":"6","key":"10.1016\/j.nec.2023.11.001_bib15","doi-asserted-by":"crossref","first-page":"E2","DOI":"10.3171\/2017.9.FOCUS17494","article-title":"Potential of predictive computer models for preoperative patient selection to enhance overall quality-adjusted life years gained at 2-year follow-up: a simulation in 234 patients with adult spinal deformity","volume":"43","author":"Oh","year":"2017","journal-title":"Neurosurg Focus"},{"issue":"16","key":"10.1016\/j.nec.2023.11.001_bib16","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1097\/BRS.0000000000003031","article-title":"Development of Deployable Predictive Models for Minimal Clinically Important Difference Achievement Across the Commonly Used Health-related Quality of Life Instruments in Adult Spinal Deformity Surgery","volume":"44","author":"Ames","year":"2019","journal-title":"Spine"},{"issue":"9","key":"10.1016\/j.nec.2023.11.001_bib17","doi-asserted-by":"crossref","first-page":"1998","DOI":"10.1007\/s00586-019-06079-x","article-title":"Development of predictive models for all individual questions of SRS-22R after adult spinal deformity surgery: a step toward individualized medicine","volume":"28","author":"Ames","year":"2019","journal-title":"Eur Spine J"},{"key":"10.1016\/j.nec.2023.11.001_bib18","first-page":"1","article-title":"Development and validation of risk stratification models for adult spinal deformity surgery","author":"Pellise","year":"2019","journal-title":"J\u00a0Neurosurg Spine"},{"issue":"12","key":"10.1016\/j.nec.2023.11.001_bib19","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1097\/BRS.0b013e31823e15e2","article-title":"Scoliosis Research Society-Schwab adult spinal deformity classification: a validation study","volume":"37","author":"Schwab","year":"2012","journal-title":"Spine"},{"issue":"19","key":"10.1016\/j.nec.2023.11.001_bib20","doi-asserted-by":"crossref","first-page":"1663","DOI":"10.1097\/BRS.0b013e31829ec563","article-title":"Change in classification grade by the SRS-Schwab Adult Spinal Deformity Classification predicts impact on health-related quality of life measures: prospective analysis of operative and nonoperative treatment","volume":"38","author":"Smith","year":"2013","journal-title":"Spine"},{"issue":"13","key":"10.1016\/j.nec.2023.11.001_bib21","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1097\/BRS.0000000000002974","article-title":"Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value","volume":"44","author":"Ames","year":"2019","journal-title":"Spine"},{"issue":"5","key":"10.1016\/j.nec.2023.11.001_bib22","doi-asserted-by":"crossref","first-page":"E252","DOI":"10.1097\/BRS.0000000000003242","article-title":"Utilization of Predictive Modeling to Determine Episode of Care Costs and to Accurately Identify Catastrophic Cost Nonwarranty Outlier Patients in Adult Spinal Deformity Surgery: A Step Toward Bundled Payments and Risk Sharing","volume":"45","author":"Ames","year":"2020","journal-title":"Spine"},{"issue":"S1","key":"10.1016\/j.nec.2023.11.001_bib23","doi-asserted-by":"crossref","first-page":"S34","DOI":"10.14444\/8502","article-title":"Future Data Points to Implement in Adult Spinal Deformity Assessment for Artificial Intelligence Modeling Prediction: The Importance of the Biological Dimension","volume":"17","author":"Haddad","year":"2023","journal-title":"Internet J Spine Surg"},{"key":"10.1016\/j.nec.2023.11.001_bib24","series-title":"Genetic Age Determined by Telomere Length is Significantly Associated with Risk of Complications in Adult Deformity Surgery despite No Significant Difference in Chronological Age: Pilot Study of 43 Patients","author":"Safaee","year":"2021"},{"key":"10.1016\/j.nec.2023.11.001_bib25","doi-asserted-by":"crossref","first-page":"e2100388","DOI":"10.1002\/pmic.202100388","article-title":"Metabolomic profile of combined healthy lifestyle behaviours in humans: A systematic review","author":"Kaspy","year":"2022","journal-title":"Proteomics"},{"key":"10.1016\/j.nec.2023.11.001_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.trecan.2022.07.003","article-title":"Emerging metabolomic tools to study cancer metastasis","author":"Nascentes Melo","year":"2022","journal-title":"Trends Cancer"},{"key":"10.1016\/j.nec.2023.11.001_bib27","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.2147\/DMSO.S370158","article-title":"Application of Metabolomics in Various Types of Diabetes","volume":"15","author":"Wu","year":"2022","journal-title":"Diabetes Metab Syndr Obes"},{"issue":"D1","key":"10.1016\/j.nec.2023.11.001_bib28","doi-asserted-by":"crossref","first-page":"D608","DOI":"10.1093\/nar\/gkx1089","article-title":"HMDB 4.0: the human metabolome database for 2018","volume":"46","author":"Wishart","year":"2018","journal-title":"Nucleic Acids Res"}],"container-title":["Neurosurgery Clinics of North America"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1042368023001262?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1042368023001262?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T20:05:46Z","timestamp":1760904346000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1042368023001262"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":28,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["S1042368023001262"],"URL":"https:\/\/doi.org\/10.1016\/j.nec.2023.11.001","relation":{},"ISSN":["1042-3680"],"issn-type":[{"value":"1042-3680","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial Intelligence in Spine Surgery","name":"articletitle","label":"Article Title"},{"value":"Neurosurgery Clinics of North America","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nec.2023.11.001","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}